Math benchmark

# MATH Level 5 leaderboard

> MATH Level 5 results for 79 AI models, led by GPT-5 at 98.1%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/math-level-5
- Last updated: 2026-10-10
- Title: MATH Level 5 Leaderboard (October 2026): Scores by Model

As of October 2026, GPT-5 has the highest published MATH Level 5 score on Noometry at 98.1%, out of 79 models with results.

Last verified October 10, 2026

## About MATH Level 5

The hardest (level 5) problems from the MATH competition dataset.

- **Category:** [Math](https://noometry.com/best/math)
- **Introduced:** 2021
- **Format:** Exact answer
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [arxiv.org](https://arxiv.org/abs/2103.03874)

## Top 15 models

Top models on MATH Level 5

1.  GPT-5 98.1%
2.  GPT-5 Mini 97.8%
3.  o4-mini 97.8%
4.  o3 97.8%
5.  Claude Sonnet 4.5 97.7%
6.  Qwen3 Max 97.1%
7.  DeepSeek-R1 96.6%
8.  o3-mini 96.5%
9.  Claude Haiku 4.5 96.4%
10.  Gemini 2.5 Pro 95.9%
11.  GPT-5 Nano 95.2%
12.  o1 94.7%
13.  Claude 3.7 Sonnet 91.2%
14.  Grok-3 mini 90.9%
15.  DeepSeek-R1-Distill-Llama-70B 89.9%
16.  859095100

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

## All results

MATH Level 5 results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 98.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-29 |
| 2 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 97.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-30 |
| 3 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 97.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-16 |
| 4 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 97.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-16 |
| 5 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 97.7% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-21 |
| 6 | [Qwen3 Max](https://noometry.com/models/qwen3-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 97.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-09 |
| 7 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 96.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-29 |
| 8 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 96.5% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-13 |
| 9 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 96.4% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-10-22 |
| 10 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 95.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-08 |
| 11 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 95.2% | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2025-08-20 |
| 12 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 94.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-13 |
| 13 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 91.2% | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-13 |
| 14 | [Grok-3 mini](https://noometry.com/models/grok-3-mini) | [xAI](https://noometry.com/providers/xai) | 90.9% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-10 |
| 15 | [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 89.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-10 |
| 16 | [o1-mini](https://noometry.com/models/o1-mini) | [OpenAI](https://noometry.com/providers/openai) | 89.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-13 |
| 17 | [Grok 3](https://noometry.com/models/grok-3) | [xAI](https://noometry.com/providers/xai) | 88.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-10 |
| 18 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 87.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 19 | [DeepSeek-R1-Distill-Qwen-14B](https://noometry.com/models/deepseek-r1-distill-qwen-14b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 87.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-11 |
| 20 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 85% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-22 |
| 21 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 84.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-22 |
| 22 | [Gemini 2.0 Pro](https://noometry.com/models/gemini-2-0-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 83.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-06 |
| 23 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 83% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 24 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 82.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-06 |
| 25 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 81.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-07 |
| 26 | [GPT-4.5](https://noometry.com/models/gpt-4-5) | [OpenAI](https://noometry.com/providers/openai) | 78.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-28 |
| 27 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 75.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-01 |
| 28 | [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 74% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-13 |
| 29 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 73% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |
| 30 | [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 70.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 31 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 70% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-14 |
| 32 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 68.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-06-03 |
| 33 | [Qwen Max](https://noometry.com/models/qwen-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 67.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-01 |
| 34 | [Qwen Plus](https://noometry.com/models/qwen-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 65.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-07 |
| 35 | [Phi-4](https://noometry.com/models/phi-4) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 64.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-31 |
| 36 | [Grok-2 (Dec 2024)](https://noometry.com/models/grok-2) | [xAI](https://noometry.com/providers/xai) | 63.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-17 |
| 37 | [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 63.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 38 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 62.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-08 |
| 39 | [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 61.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 40 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 56.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 41 | [Qwen Turbo](https://noometry.com/models/qwen-turbo) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 56.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-04-07 |
| 42 | [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 56.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-30 |
| 43 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 53.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 44 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 52.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 45 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 50.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| 46 | [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 49.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 47 | [Mistral Small](https://noometry.com/models/mistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 46.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-18 |
| 48 | [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | 46.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-27 |
| 49 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 46.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-12 |
| 50 | [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) | 42.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 51 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 41.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 52 | [Llama 3.2 90B](https://noometry.com/models/llama-3-2-90b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 39.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 53 | [Qwen2-72B](https://noometry.com/models/qwen2-72b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 39.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 54 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 37.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 55 | [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 36.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 56 | [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 27.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 57 | [WizardLM-2 8x22B](https://noometry.com/models/wizardlm-2-8x22b) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 25.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 58 | [Yi-1.5-34B](https://noometry.com/models/yi-1-5-34b) | [01.AI](https://noometry.com/providers/01-ai) | 25.5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 59 | [Mixtral 8x22B](https://noometry.com/models/mixtral-8x22b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 24.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 60 | [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | 23% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 61 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 22.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 62 | [Llama 3-70B](https://noometry.com/models/llama-3-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 22.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 63 | [Gemma 2 9B](https://noometry.com/models/gemma-2-9b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 21% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 64 | [Claude 3 Sonnet](https://noometry.com/models/claude-3-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 18.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 65 | [phi-3-medium 14B](https://noometry.com/models/phi-3-medium-14b) |  [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 17.6% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-31 |
| 66 | [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | 15.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 67 | [Ministral 8B](https://noometry.com/models/ministral-8b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 14.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 68 | [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 14.9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 69 | [Ministral 3B](https://noometry.com/models/ministral-3b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 14.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 70 | [Claude 2](https://noometry.com/models/claude-2) | [Anthropic](https://noometry.com/providers/anthropic) | 11.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 71 | [DBRX](https://noometry.com/models/dbrx) |  [![](/logos/databricks.svg) Databricks](https://noometry.com/providers/databricks) | 11.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 72 | [Gemini 1.0 Pro](https://noometry.com/models/gemini-1-0-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 11.2% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 73 | [Mistral Nemo](https://noometry.com/models/mistral-nemo) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 10.8% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 74 | [Mixtral 8x7B](https://noometry.com/models/mixtral-8x7b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 10% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 75 | [DeepSeek LLM 67B](https://noometry.com/models/deepseek-llm-67b) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 6.4% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 76 | [Llama 3-8B](https://noometry.com/models/llama-3-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 6.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 77 | [Yi-34B](https://noometry.com/models/yi-34b) | [01.AI](https://noometry.com/providers/01-ai) | 5.1% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 78 | [Mistral 7B](https://noometry.com/models/mistral-7b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 3.7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |
| 79 | [Llama 2-70B](https://noometry.com/models/llama-2-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 3.3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-01-27 |

## Compare the leaders

-   [GPT-5 vs GPT-5 Mini](https://noometry.com/compare/gpt-5-vs-gpt-5-mini)
-   [GPT-5 vs o4-mini](https://noometry.com/compare/gpt-5-vs-o4-mini)
-   [GPT-5 vs o3](https://noometry.com/compare/gpt-5-vs-o3)
-   [GPT-5 vs Claude Sonnet 4.5](https://noometry.com/compare/claude-sonnet-4-5-vs-gpt-5)
-   [GPT-5 Mini vs o4-mini](https://noometry.com/compare/gpt-5-mini-vs-o4-mini)
-   [GPT-5 Mini vs o3](https://noometry.com/compare/gpt-5-mini-vs-o3)

## 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)
-   [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 MATH Level 5 measure?

The hardest (level 5) problems from the MATH competition dataset.

### Which model has the highest MATH Level 5 score?

As of October 2026, GPT-5 has the highest published MATH Level 5 score on Noometry at 98.1%, out of 79 models with results.

### What is the best open-weight model on MATH Level 5?

DeepSeek-R1-Distill-Llama-70B has the highest MATH Level 5 accuracy among open-weight models at 89.9%, ranking 15 of 79 overall.

### Cite this page

Noometry. (2026). MATH Level 5 leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/math-level-5

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/math-level-5.md).