Math benchmark

# FrontierMath (Feb 2025 set) leaderboard

> FrontierMath (Feb 2025 set) results for 68 AI models, led by GPT-5.5 Pro at 52.4%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/frontiermath-2025-02
- Last updated: 2026-10-10
- Title: FrontierMath (Feb 2025 set) Leaderboard (October 2026): Scores by Model

As of October 2026, GPT-5.5 Pro has the highest published FrontierMath (Feb 2025 set) score on Noometry at 52.4%, out of 68 models with results.

Last verified October 10, 2026

## About FrontierMath (Feb 2025 set)

Earlier FrontierMath problem set, kept for historical comparison.

- **Category:** [Math](https://noometry.com/best/math)
- **Introduced:** 2025
- **Format:** Exact answer
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [epoch.ai](https://epoch.ai/frontiermath)

## Top 15 models

Top models on FrontierMath (Feb 2025 set)

1.  GPT-5.5 Pro 52.4%
2.  GPT-5.5 51.7%
3.  GPT-5.4 Pro 50%
4.  GPT-5.4 47.6%
5.  Claude Opus 4.8 47.2%
6.  Claude Opus 4.7 43.8%
7.  Claude Opus 4.6 40.7%
8.  GPT-5.2 40.7%
9.  Muse Spark 39%
10.  Gemini 3.5 Flash 39%
11.  Kimi K2.6 39%
12.  Gemini 3 Pro 37.6%
13.  Gemini 3.1 Pro Preview 36.9%
14.  Gemini 3 Flash Preview 35.6%
15.  GLM-5.1 33.4%
16.  303540455055

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

## All results

FrontierMath (Feb 2025 set) results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 52.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-23 |
| 2 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 51.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-23 |
| 3 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | [OpenAI](https://noometry.com/providers/openai) | 50% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-03-06 |
| 4 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 47.6% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-03-06 |
| 5 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 47.2% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-08 |
| 6 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 43.8% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-17 |
| 7 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 40.7% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-12 |
| 8 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 40.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-13 |
| 9 | [Muse Spark](https://noometry.com/models/muse-spark) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 39% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-08 |
| 10 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 39% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-22 |
| 11 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 39% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-07 |
| 12 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 37.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-21 |
| 13 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 36.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-19 |
| 14 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 35.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-17 |
| 15 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 33.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-11 |
| 16 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 32.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 17 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 32.4% | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| 18 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 31% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 19 | [Gemini 2.5 Deep Think](https://noometry.com/models/gemini-2-5-deep-think) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 29% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 20 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 28.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-15 |
| 21 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 27.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-03 |
| 22 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 27.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 23 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 26.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-12 |
| 24 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 25.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-04-15 |
| 25 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 24.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 26 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 23.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-27 |
| 27 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 22.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-22 |
| 28 | [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | [Moonshot AI](https://noometry.com/providers/moonshot) | 21.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-05 |
| 29 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 21% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-14 |
| 30 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 20.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-25 |
| 31 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 19.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-13 |
| 32 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 18.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-16 |
| 33 | [GLM-5](https://noometry.com/models/glm-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 16.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-19 |
| 34 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 15.2% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-16 |
| 35 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 14.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-24 |
| 36 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 12.4% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-11-16 |
| 37 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 10.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-12 |
| 38 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 9.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 39 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 8.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-11 |
| 40 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 8.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-30 |
| 41 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 7.2% | 27K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-08-05 |
| 42 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 6.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-05-12 |
| 43 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 5.9% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-22 |
| 44 | [Grok-3 mini](https://noometry.com/models/grok-3-mini) | [xAI](https://noometry.com/providers/xai) | 5.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-10 |
| 45 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 5.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 46 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 4.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-18 |
| 47 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 4.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-07-04 |
| 48 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 4.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 49 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 4.1% | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| 50 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 4.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-07-04 |
| 51 | [GLM-4.6](https://noometry.com/models/glm-4-6) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 3.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-12-08 |
| 52 | [Grok 3](https://noometry.com/models/grok-3) | [xAI](https://noometry.com/providers/xai) | 3.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-10 |
| 53 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 2.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-01-30 |
| 54 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 2.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| 55 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 56 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-09 |
| 57 | [o1-mini](https://noometry.com/models/o1-mini) | [OpenAI](https://noometry.com/providers/openai) | 1.7% | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| 58 | [Qwen Plus](https://noometry.com/models/qwen-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-14 |
| 59 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 60 | [Qwen Max](https://noometry.com/models/qwen-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-02 |
| 61 | [Grok-2 (Dec 2024)](https://noometry.com/models/grok-2) | [xAI](https://noometry.com/providers/xai) | 0.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| 62 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |
| 63 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-07 |
| 64 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 65 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 66 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 0.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| 67 | [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-07 |
| 68 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |

## Compare the leaders

-   [GPT-5.5 Pro vs GPT-5.5](https://noometry.com/compare/gpt-5-5-vs-gpt-5-5-pro)
-   [GPT-5.5 Pro vs GPT-5.4 Pro](https://noometry.com/compare/gpt-5-4-pro-vs-gpt-5-5-pro)
-   [GPT-5.5 Pro vs GPT-5.4](https://noometry.com/compare/gpt-5-4-vs-gpt-5-5-pro)
-   [GPT-5.5 Pro vs Claude Opus 4.8](https://noometry.com/compare/claude-opus-4-8-vs-gpt-5-5-pro)
-   [GPT-5.5 vs GPT-5.4 Pro](https://noometry.com/compare/gpt-5-4-pro-vs-gpt-5-5)
-   [GPT-5.5 vs GPT-5.4](https://noometry.com/compare/gpt-5-4-vs-gpt-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)
-   [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime)
-   [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 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 FrontierMath (Feb 2025 set) measure?

Earlier FrontierMath problem set, kept for historical comparison.

### Which model has the highest FrontierMath (Feb 2025 set) score?

As of October 2026, GPT-5.5 Pro has the highest published FrontierMath (Feb 2025 set) score on Noometry at 52.4%, out of 68 models with results.

### What is the best open-weight model on FrontierMath (Feb 2025 set)?

Kimi K2.6 has the highest FrontierMath (Feb 2025 set) accuracy among open-weight models at 39%, ranking 11 of 68 overall.

### Cite this page

Noometry. (2026). FrontierMath (Feb 2025 set) leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/frontiermath-2025-02

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/frontiermath-2025-02.md).