Reasoning benchmark

# SimpleBench leaderboard

> SimpleBench results for 77 AI models, led by Claude Fable 5 at 81.9%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/simplebench
- Last updated: 2026-10-10
- Title: SimpleBench Leaderboard (October 2026): Scores by Model

As of October 2026, Claude Fable 5 has the highest published SimpleBench score on Noometry at 81.9%, out of 77 models with results.

Last verified October 10, 2026

## About SimpleBench

Trick questions about space, time and social situations that most people answer easily but models often miss.

- **Category:** [Reasoning](https://noometry.com/best/reasoning)
- **Introduced:** 2024
- **Format:** Multiple choice
- **Unit:** Percent (random guessing ≈ 16.7%)
- **Official site:** [simple-bench.com](https://simple-bench.com)

## Top 15 models

Top models on SimpleBench

1.  Claude Fable 5 81.9%
2.  Claude Opus 5 80.6%
3.  Gemini 3.1 Pro Preview 79.6%
4.  GPT-5.5 Pro 76.9%
5.  Gemini 3.5 Flash 76.7%
6.  Gemini 3 Pro 76.4%
7.  Grok 4.6 75.9%
8.  Muse Spark 1.2 74.5%
9.  GPT-5.4 Pro 74.1%
10.  GPT-5.6 Sol 71.7%
11.  Qwen3.7 Max 70.4%
12.  Grok 4.5 70%
13.  GPT-5.5 69%
14.  Claude Opus 4.6 67.6%
15.  Claude Opus 4.8 64.8%
16.  606570758085

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

## All results

SimpleBench 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) | 81.9% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 80.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 79.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 76.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 76.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 76.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 75.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 74.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [GPT-5.4 Pro](https://noometry.com/models/gpt-5-4-pro) | [OpenAI](https://noometry.com/providers/openai) | 74.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 71.7% | prounknown | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 70.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 70% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 69% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 67.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 15 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 64.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 16 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 63% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 17 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 62.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 18 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 62% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 19 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 61.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 20 | [GPT-5 Pro](https://noometry.com/models/gpt-5-pro) | [OpenAI](https://noometry.com/providers/openai) | 61.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 21 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 61.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 22 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 61.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 23 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 60.7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 24 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 60.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 25 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 60.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 26 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 60% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 27 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 58.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 28 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 58.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 29 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 57.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 30 | [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) | [OpenAI](https://noometry.com/providers/openai) | 57.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 31 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 56.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 32 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | 56% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 33 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | 56% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 34 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 55.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 35 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 54.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 36 | [GLM-5](https://noometry.com/models/glm-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 53.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 37 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 53.2% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 38 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 53.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 39 | [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 52.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 40 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 50% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 41 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 48.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 42 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 47.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 43 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 47.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 44 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 46.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 45 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 46.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 46 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 46.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 47 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 45.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 48 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 45.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 49 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 45.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 50 | [o1](https://noometry.com/models/o1) | [OpenAI](https://noometry.com/providers/openai) | 41.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 51 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 41.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 52 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 41.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 53 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 40.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 54 | [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 40% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 55 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 38.7% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 56 | [Grok 3](https://noometry.com/models/grok-3) | [xAI](https://noometry.com/providers/xai) | 36.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 57 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 35.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 58 | [GPT-4.5](https://noometry.com/models/gpt-4-5) | [OpenAI](https://noometry.com/providers/openai) | 34.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 59 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 31.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 60 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 31% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 61 | [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 27.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 62 | [DeepSeek-V3](https://noometry.com/models/deepseek-v3) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 27.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 63 | [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 27.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 64 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | 27% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 65 | [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | [Moonshot AI](https://noometry.com/providers/moonshot) | 26.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 66 | [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | 25.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 67 | [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | [Anthropic](https://noometry.com/providers/anthropic) | 23.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 68 | [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 23% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 69 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 22.8% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 70 | [Grok-2 (Dec 2024)](https://noometry.com/models/grok-2) | [xAI](https://noometry.com/providers/xai) | 22.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 71 | [Mistral Large](https://noometry.com/models/mistral-large) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 22.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 72 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 22.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 73 | [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 19.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 74 | [o1-mini](https://noometry.com/models/o1-mini) | [OpenAI](https://noometry.com/providers/openai) | 18.1% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 75 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 17.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 76 | [Command R+](https://noometry.com/models/command-r-plus) |  [![](/logos/cohere.svg) Cohere](https://noometry.com/providers/cohere) | 17.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 77 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 10.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [Claude Fable 5 vs Claude Opus 5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5)
-   [Claude Fable 5 vs Gemini 3.1 Pro Preview](https://noometry.com/compare/claude-fable-5-vs-gemini-3-1-pro-preview)
-   [Claude Fable 5 vs GPT-5.5 Pro](https://noometry.com/compare/claude-fable-5-vs-gpt-5-5-pro)
-   [Claude Fable 5 vs Gemini 3.5 Flash](https://noometry.com/compare/claude-fable-5-vs-gemini-3-5-flash)
-   [Claude Opus 5 vs Gemini 3.1 Pro Preview](https://noometry.com/compare/claude-opus-5-vs-gemini-3-1-pro-preview)
-   [Claude Opus 5 vs GPT-5.5 Pro](https://noometry.com/compare/claude-opus-5-vs-gpt-5-5-pro)

## Other reasoning benchmarks

-   [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2)
-   [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)
-   [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles)

## Frequently asked questions

### What does SimpleBench measure?

Trick questions about space, time and social situations that most people answer easily but models often miss.

### Which model has the highest SimpleBench score?

As of October 2026, Claude Fable 5 has the highest published SimpleBench score on Noometry at 81.9%, out of 77 models with results.

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

DeepSeek V4 Flash has the highest SimpleBench accuracy among open-weight models at 61.1%, ranking 21 of 77 overall.

### Cite this page

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

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