Math benchmark

# OTIS Mock AIME 2024-2025 leaderboard

> OTIS Mock AIME 2024-2025 results for 173 AI models, led by Claude Fable 5 at 100%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/otis-mock-aime
- Last updated: 2026-10-10
- Title: OTIS Mock AIME 2024-2025 Leaderboard (October 2026): Scores by Model

As of October 2026, Claude Fable 5 has the highest published OTIS Mock AIME 2024-2025 score on Noometry at 100%, out of 173 models with results.

Last verified October 10, 2026

## About OTIS Mock AIME 2024-2025

Competition math problems in the style of the AIME, drawn from OTIS mock exams, with integer answers.

- **Category:** [Math](https://noometry.com/best/math)
- **Introduced:** 2024
- **Format:** Integer answer
- **Unit:** Percent (random guessing ≈ 0.1%)
- **Official site:** [epoch.ai](https://epoch.ai/benchmarks)

## Top 15 models

Top models on OTIS Mock AIME 2024-2025

1.  Claude Fable 5 100%
2.  Claude Fable 5.1 100%
3.  Claude Opus 5.5 100%
4.  Claude Sonnet 5.5 100%
5.  GPT-5.5 100%
6.  GPT-5.5 Pro 100%
7.  GPT-5.6 Sol 100%
8.  GPT-6.1 Sol 100%
9.  GPT-6 Astra 100%
10.  GPT-6 Sol 100%
11.  Qwen3.8 Max 100%
12.  GPT-5.6 Terra 99.7%
13.  Grok 4.6 99.2%
14.  Muse Spark 1.3 99.2%
15.  Claude Haiku 5.5 98.9%
16.  98.599.099.5100.0

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## All results

OTIS Mock AIME 2024-2025 results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 100% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 2 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 100% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-01 |
| 3 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 100% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 4 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 100% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| 5 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 100% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-24 |
| 6 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 100% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-24 |
| 7 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 100% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-09 |
| 8 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 100% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| 9 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 100% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 10 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 100% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 11 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 100% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-02 |
| 12 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 99.7% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-09 |
| 13 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 99.2% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-14 |
| 14 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 99.2% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-17 |
| 15 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 98.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-07 |
| 16 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 98.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-24 |
| 17 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 98.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-02 |
| 18 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 98.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 19 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 98.6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-18 |
| 20 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 98.3% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-07 |
| 21 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 98.3% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-08 |
| 22 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 98.3% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-09 |
| 23 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 98.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 24 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 97.8% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-17 |
| 25 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 97.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-15 |
| 26 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 97.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-08 |
| 27 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 97.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-14 |
| 28 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 97.2% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-16 |
| 29 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 96.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-11 |
| 30 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 96.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-02 |
| 31 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 95.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| 32 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 95.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-25 |
| 33 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 95.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 34 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 95.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 35 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 95.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 36 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 94.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-01 |
| 37 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 94.4% | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-06 |
| 38 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 94.4% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| 39 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 94.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| 40 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 93.9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-26 |
| 41 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 93.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 42 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 93.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-17 |
| 43 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 93.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 44 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 93.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 45 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 92.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| 46 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 92.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-02 |
| 47 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 91.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-19 |
| 48 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 91.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-29 |
| 49 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 91.1% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-24 |
| 50 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 91.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 51 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 91.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 52 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 90% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-14 |
| 53 | [Muse Spark](https://noometry.com/models/muse-spark) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 88.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-08 |
| 54 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 88.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 55 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 88.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-11 |
| 56 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 88.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 57 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 88.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 58 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 88.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 59 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 87.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-16 |
| 60 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 87.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-14 |
| 61 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 86.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-30 |
| 62 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) |  [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 86.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 63 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 86.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-10 |
| 64 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 86.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 65 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 86.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 66 | [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 86.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 67 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 86.4% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-25 |
| 68 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 86.1% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-24 |
| 69 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 85.8% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| 70 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 84.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-16 |
| 71 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 84.4% | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 72 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 84.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 73 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 84.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 74 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 84% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 75 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 83.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-01-29 |
| 76 | [Kimi K2 Thinking Turbo](https://noometry.com/models/kimi-k2-thinking-turbo) | [Moonshot AI](https://noometry.com/providers/moonshot) | 83.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 77 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 82.2% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 78 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 81.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-16 |
| 79 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 81.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-31 |
| 80 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 80% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 81 | [GLM-5](https://noometry.com/models/glm-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 80% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-12 |
| 82 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 77.8% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-21 |
| 83 | [Grok-3 mini](https://noometry.com/models/grok-3-mini) | [xAI](https://noometry.com/providers/xai) | 77.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-10 |
| 84 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 76.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-27 |
| 85 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 73.3% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 86 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 73.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-15 |
| 87 | [Qwen3 Max](https://noometry.com/models/qwen3-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 73.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-06 |
| 88 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 73.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-22 |
| 89 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 71.1% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-22 |
| 90 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 71.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 91 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 71.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 92 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 70.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 93 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 70% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 94 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 68.9% | 27K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-08-05 |
| 95 | [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | [OpenAI](https://noometry.com/providers/openai) | 68.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-02 |
| 96 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 66.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 97 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 66.7% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-22 |
| 98 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 66.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-29 |
| 99 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 66.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 100 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | 65.3% | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 101 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 64.4% | 27K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-28 |
| 102 | [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 61.7% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 103 | [QwQ-32B](https://noometry.com/models/qwq-32b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 59.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 104 | [GLM-4.7-Flash](https://noometry.com/models/glm-4-7-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 58.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 105 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 57.8% | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-13 |
| 106 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 57.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 107 | [Qwen3 8B](https://noometry.com/models/qwen3-8b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 56.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 108 | [Qwen3.5-4B](https://noometry.com/models/qwen3-5-4b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 55.8% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 109 | [DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/models/deepseek-r1-distill-qwen-32b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 55.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 110 | [Grok 3](https://noometry.com/models/grok-3) | [xAI](https://noometry.com/providers/xai) | 55.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-10 |
| 111 | [Qwen3-4B](https://noometry.com/models/qwen3-4b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 52.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 112 | [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 51.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 113 | [DeepSeek-R1-Distill-Qwen-14B](https://noometry.com/models/deepseek-r1-distill-qwen-14b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 50.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 114 | [o1-mini](https://noometry.com/models/o1-mini) | [OpenAI](https://noometry.com/providers/openai) | 46.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| 115 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 44.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 116 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 38.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 117 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 37.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-01 |
| 118 | [GPT-4.5](https://noometry.com/models/gpt-4-5) | [OpenAI](https://noometry.com/providers/openai) | 37.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-28 |
| 119 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 32.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-07 |
| 120 | [Mistral Small 3.2](https://noometry.com/models/mistral-small-3-2) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 30.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 121 | [Magistral Small](https://noometry.com/models/magistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 30% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 122 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 28.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 123 | [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 23.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 124 | [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 22.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 125 | [DeepSeek-R1-Distill-Qwen-1.5B](https://noometry.com/models/deepseek-r1-distill-qwen-1-5b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 21.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 126 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 20.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |
| 127 | [Qwen Plus](https://noometry.com/models/qwen-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 17.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-07 |
| 128 | [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 16.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 129 | [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 16.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 130 | [Qwen Max](https://noometry.com/models/qwen-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 16.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-01 |
| 131 | [Phi-4](https://noometry.com/models/phi-4) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 13.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 132 | [Grok-2 (Dec 2024)](https://noometry.com/models/grok-2) | [xAI](https://noometry.com/providers/xai) | 11.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 133 | [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 9.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 134 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 8.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 135 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 8.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 136 | [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 8.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 137 | [Qwen3-1.7B](https://noometry.com/models/qwen3-1-7b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 8.1% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 138 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 7.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |
| 139 | [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 7.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 140 | [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 7.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 141 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 6.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-07-30 |
| 142 | [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | 6.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-27 |
| 143 | [Mistral Small 3](https://noometry.com/models/mistral-small-3) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 6.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 144 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 6.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 145 | [Qwen Turbo](https://noometry.com/models/qwen-turbo) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 6.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-07 |
| 146 | [Mistral Small](https://noometry.com/models/mistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 5.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-18 |
| 147 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 5.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 148 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 4.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 149 | [Gemini 1.5 Flash 8B](https://noometry.com/models/gemini-1-5-flash-8b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 4.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 150 | [Tulu 3 (Tülu 3) 70B](https://noometry.com/models/tulu-3-70b) |  [![](/logos/ai2.svg) Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2) | 4.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 151 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 4.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 152 | [Llama 3-70B](https://noometry.com/models/llama-3-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 4.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 153 | [Mistral Small 3.1](https://noometry.com/models/mistral-small-3-1) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 3.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 154 | [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 3.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 155 | [Granite 4.0 Micro](https://noometry.com/models/granite-4-0-micro) | [IBM](https://noometry.com/providers/ibm) | 2.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 156 | [Llama 3.2 90B](https://noometry.com/models/llama-3-2-90b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 2.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 157 | [Claude 2](https://noometry.com/models/claude-2) | [Anthropic](https://noometry.com/providers/anthropic) | 2.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 158 | [Claude 3 Sonnet](https://noometry.com/models/claude-3-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 2.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 159 | [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 2.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 160 | [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | 2.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-07 |
| 161 | [Claude 2.1](https://noometry.com/models/claude-2-1) | [Anthropic](https://noometry.com/providers/anthropic) | 1.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 162 | [Llama 3-8B](https://noometry.com/models/llama-3-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 163 | [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 1.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 164 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 165 | [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 166 | [Gemini 1.0 Pro](https://noometry.com/models/gemini-1-0-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 167 | [Gemma 3 1B](https://noometry.com/models/gemma-3-1b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 168 | [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-23 |
| 169 | [DeepSeek LLM 67B](https://noometry.com/models/deepseek-llm-67b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 0.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 170 | [Gemma 2 9B](https://noometry.com/models/gemma-2-9b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 171 | [Llama 3.2 1B](https://noometry.com/models/llama-3-2-1b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 172 | [Mistral 7B](https://noometry.com/models/mistral-7b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 173 | [Llama 2-70B](https://noometry.com/models/llama-2-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |

## Compare the leaders

-   [Claude Fable 5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-vs-claude-fable-5-1)
-   [Claude Fable 5 vs Claude Opus 5.5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5-5)
-   [Claude Fable 5 vs Claude Sonnet 5.5](https://noometry.com/compare/claude-fable-5-vs-claude-sonnet-5-5)
-   [Claude Fable 5 vs GPT-5.5](https://noometry.com/compare/claude-fable-5-vs-gpt-5-5)
-   [Claude Fable 5.1 vs Claude Opus 5.5](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5)
-   [Claude Fable 5.1 vs Claude Sonnet 5.5](https://noometry.com/compare/claude-fable-5-1-vs-claude-sonnet-5-5)

## Other math benchmarks

-   [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath)
-   [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4)
-   [MathArena Final-Answer Competitions](https://noometry.com/benchmarks/matharena)
-   [ProofBench](https://noometry.com/benchmarks/proofbench)
-   [Omni-MATH](https://noometry.com/benchmarks/omni-math)
-   [LMArena Math](https://noometry.com/benchmarks/arena-math)
-   [LiveBench Math](https://noometry.com/benchmarks/livebench-math)
-   [MATH Level 5](https://noometry.com/benchmarks/math-level-5)
-   [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) (reference)
-   [FrontierMath Erdős](https://noometry.com/benchmarks/frontiermath-erdos) (reference)
-   [FrontierMath Tier 4 (v1)](https://noometry.com/benchmarks/frontiermath-tier-4-v1) (reference)
-   [GSM8K](https://noometry.com/benchmarks/gsm8k) (reference)

## Frequently asked questions

### What does OTIS Mock AIME 2024-2025 measure?

Competition math problems in the style of the AIME, drawn from OTIS mock exams, with integer answers.

### Which model has the highest OTIS Mock AIME 2024-2025 score?

As of October 2026, Claude Fable 5 has the highest published OTIS Mock AIME 2024-2025 score on Noometry at 100%, out of 173 models with results.

### What is the best open-weight model on OTIS Mock AIME 2024-2025?

DeepSeek V4 Pro has the highest OTIS Mock AIME 2024-2025 accuracy among open-weight models at 98.6%, ranking 19 of 173 overall.

### Cite this page

Noometry. (2026). OTIS Mock AIME 2024-2025 leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/otis-mock-aime

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