Reasoning benchmark

# DTBench leaderboard

> DTBench results for 151 AI models, led by Claude Opus 5.5 at 98.9%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/dtbench
- Last updated: 2026-10-10
- Title: DTBench Leaderboard (October 2026): Scores by Model

As of October 2026, Claude Opus 5.5 has the highest published DTBench score on Noometry at 98.9%, out of 151 models with results.

Last verified October 10, 2026

## About DTBench

A description with primary sources is being prepared for this benchmark.

- **Category:** [Reasoning](https://noometry.com/best/reasoning)
- **Introduced:** 2026
- **Unit:** Percent (random guessing ≈ 40%)
- **Official site:** [epoch.ai](https://epoch.ai/benchmarks)

## Top 15 models

Top models on DTBench

1.  Claude Opus 5.5 98.9%
2.  Claude Fable 5 98.4%
3.  Claude Opus 5 97.9%
4.  Claude Fable 5.1 97.6%
5.  GPT-6 Astra 97.3%
6.  GPT-6 Sol 97.3%
7.  Grok 4.6 97.3%
8.  Gemini 3.1 Pro Preview 97.1%
9.  Gemini 3.7 Flash 96.8%
10.  Grok 4.5 96.5%
11.  Muse Spark 1.3 96.5%
12.  GPT-5.5 96%
13.  GPT-5.5 Pro 96%
14.  GPT-5.6 Sol 96%
15.  Grok 4.7 96%
16.  9596979899

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

## All results

DTBench results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 98.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 98.4% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 97.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 97.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 97.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 97.3% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 97.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 97.1% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 96.8% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 96.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 96.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 96% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 96% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 96% | promax | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 15 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 96% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 16 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 95.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 17 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 95.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 18 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 94.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 19 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 94.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 20 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 94.7% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 21 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 94.7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 22 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 94.4% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 23 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 94.4% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 24 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 93.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 25 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 93.6% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 26 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 93.3% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 27 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 92.5% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 28 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 92.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 29 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 92% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 30 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 91.2% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 31 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 91.2% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 32 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 90.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 33 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 90.9% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 34 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 90.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 35 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 90.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 36 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 90.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 37 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 90.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 38 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 90.1% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 39 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 90.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 40 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) |  [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 90.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 41 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 89.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 42 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 89.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 43 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 89.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 44 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 89.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 45 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 89.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 46 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 88% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 47 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 87.7% | thinking | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 48 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | 87.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 49 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 87.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 50 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 87.5% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 51 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 87.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 52 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 87.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 53 | [o3-pro](https://noometry.com/models/o3-pro) | [OpenAI](https://noometry.com/providers/openai) | 86.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 54 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 84.8% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 55 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 84.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 56 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 84.3% | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 57 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 84% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 58 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 83.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 59 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 83.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 60 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 82.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 61 | [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 82.7% | thinking | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 62 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 82.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 63 | [Grok 4 Fast](https://noometry.com/models/grok-4-fast) | [xAI](https://noometry.com/providers/xai) | 82.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 64 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 82.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 65 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 82.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 66 | [Qwen3 Max](https://noometry.com/models/qwen3-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 82.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 67 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 81.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 68 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 81.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 69 | [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 81.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 70 | [Qwen Plus](https://noometry.com/models/qwen-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 81.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 71 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 80.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 72 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 80.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 73 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 80.3% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 74 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 80.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 75 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 80% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 76 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 80% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 77 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 80% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 78 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 78.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 79 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 78.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 80 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 77.6% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 81 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 77.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 82 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 77.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 83 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 76.8% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 84 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 76.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 85 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 76.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 86 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 75.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 87 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 74.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 88 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 74.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 89 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 73.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 90 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 73.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 91 | [Qwen3.5-9B](https://noometry.com/models/qwen3-5-9b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 71.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 92 | [Mistral Small](https://noometry.com/models/mistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 70.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 93 | [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 69.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 94 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 68.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 95 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 68.8% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 96 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 68.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 97 | [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | [OpenAI](https://noometry.com/providers/openai) | 68% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 98 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 67.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 99 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 67.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 100 | [Grok-2 (Dec 2024)](https://noometry.com/models/grok-2) | [xAI](https://noometry.com/providers/xai) | 65.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 101 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 65.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 102 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 64.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 103 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 64.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 104 | [Qwen3 14B](https://noometry.com/models/qwen3-14b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 64% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 105 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 63.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 106 | [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 62.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 107 | [Gemini 2.5 Flash-Lite](https://noometry.com/models/gemini-2-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 62.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 108 | [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | 62.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 109 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 62.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 110 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 61.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 111 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 61.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 112 | [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | 61.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 113 | [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 61.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 114 | [Command A](https://noometry.com/models/command-a) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 61.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 115 | [Magistral Small](https://noometry.com/models/magistral-small) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 61.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 116 | [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 60% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 117 | [Qwen3 8B](https://noometry.com/models/qwen3-8b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 59.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 118 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 59.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 119 | [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 59% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 120 | [Llama 4 Scout](https://noometry.com/models/llama-4-scout) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 57.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 121 | [Claude 3.5 Haiku](https://noometry.com/models/claude-3-5-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 56.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 122 | [Mixtral 8x22B](https://noometry.com/models/mixtral-8x22b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 55.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 123 | [Command R+](https://noometry.com/models/command-r-plus) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 54.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 124 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 54.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 125 | [Llama 3-70B](https://noometry.com/models/llama-3-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 54.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 126 | [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 53.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 127 | [Claude 3 Sonnet](https://noometry.com/models/claude-3-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 53.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 128 | [Gemini 2.0 Flash-Lite](https://noometry.com/models/gemini-2-0-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 52.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 129 | [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 52.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 130 | [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | 52.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 131 | [Claude 2](https://noometry.com/models/claude-2) | [Anthropic](https://noometry.com/providers/anthropic) | 51.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 132 | [Ministral 3B](https://noometry.com/models/ministral-3b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 51.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 133 | [Claude 2.1](https://noometry.com/models/claude-2-1) | [Anthropic](https://noometry.com/providers/anthropic) | 51% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 134 | [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 50.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 135 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 50.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 136 | [Claude 3 Haiku](https://noometry.com/models/claude-3-haiku) | [Anthropic](https://noometry.com/providers/anthropic) | 50.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 137 | [Gemini 1.5 Flash 8B](https://noometry.com/models/gemini-1-5-flash-8b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 50% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 138 | [Mixtral 8x7B](https://noometry.com/models/mixtral-8x7b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 49.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 139 | [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 48.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 140 | [Mistral Nemo](https://noometry.com/models/mistral-nemo) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 48.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 141 | [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | 48.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 142 | [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 48% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 143 | [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 47.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 144 | [Command R](https://noometry.com/models/command-r) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 46.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 145 | [Gemini 1.0 Pro](https://noometry.com/models/gemini-1-0-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 45.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 146 | [Claude Instant](https://noometry.com/models/claude-instant) | [Anthropic](https://noometry.com/providers/anthropic) | 45.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 147 | [Ministral 8B](https://noometry.com/models/ministral-8b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 45.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 148 | [Llama 3-8B](https://noometry.com/models/llama-3-8b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 43.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 149 | [Mistral 7B](https://noometry.com/models/mistral-7b) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 42.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 150 | [Llama 2-13B](https://noometry.com/models/llama-2-13b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 42.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 151 | [Llama 2-70B](https://noometry.com/models/llama-2-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 41.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [Claude Opus 5.5 vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5-5)
-   [Claude Opus 5.5 vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-claude-opus-5-5)
-   [Claude Opus 5.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5)
-   [Claude Opus 5.5 vs GPT-6 Astra](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra)
-   [Claude Fable 5 vs Claude Opus 5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5)
-   [Claude Fable 5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-vs-claude-fable-5-1)

## Other reasoning benchmarks

-   [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2)
-   [SimpleBench](https://noometry.com/benchmarks/simplebench)
-   [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning)
-   [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections)
-   [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1)
-   [CritPt](https://noometry.com/benchmarks/critpt)
-   [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles)
-   [EnigmaEval](https://noometry.com/benchmarks/enigmaeval)
-   [Thematic Generalization](https://noometry.com/benchmarks/thematic-generalization)
-   [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts)
-   [EBR-Bench](https://noometry.com/benchmarks/ebr-bench)
-   [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning)

## Frequently asked questions

### Which model has the highest DTBench score?

As of October 2026, Claude Opus 5.5 has the highest published DTBench score on Noometry at 98.9%, out of 151 models with results.

### What is the best open-weight model on DTBench?

DeepSeek V4 Pro has the highest DTBench accuracy among open-weight models at 93.9%, ranking 24 of 151 overall.

### Cite this page

Noometry. (2026). DTBench leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/dtbench

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