Reasoning benchmark

# Mystery Game Puzzles leaderboard

> Mystery Game Puzzles results for 74 AI models, led by GPT-6 Astra at 84%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/mystery-game-puzzles
- Last updated: 2026-10-10
- Title: Mystery Game Puzzles Leaderboard (October 2026): Scores by Model

As of October 2026, GPT-6 Astra has the highest published Mystery Game Puzzles score on Noometry at 84%, out of 74 models with results.

Last verified October 10, 2026

## About Mystery Game Puzzles

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

- **Category:** [Reasoning](https://noometry.com/best/reasoning)
- **Introduced:** 2026
- **Unit:** Percent (random guessing ≈ 9.2%)
- **Official site:** [epoch.ai](https://epoch.ai/benchmarks)

## Top 15 models

Top models on Mystery Game Puzzles

1.  GPT-6 Astra 84%
2.  GPT-6.1 Sol 80%
3.  Claude Opus 5.5 71%
4.  Claude Sonnet 5.5 65%
5.  Claude Opus 5 59%
6.  Claude Fable 5.1 58%
7.  GPT-5.6 Sol 58%
8.  GPT-5.5 56%
9.  GPT-6 Sol 56%
10.  Claude Fable 5 52%
11.  Gemini 3.8 Flash 47%
12.  DeepSeek V4.1 Flash 43%
13.  DeepSeek V4 Pro 43%
14.  Qwen3.8 Max 38%
15.  Gemini 3.7 Flash 37%
16.  050100

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

## All results

Mystery Game Puzzles results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 84% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 2 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 80% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| 3 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 71% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| 4 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 65% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| 5 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 59% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-25 |
| 6 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 58% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-01 |
| 7 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 58% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-28 |
| 8 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 56% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-24 |
| 9 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 56% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 10 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 52% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-31 |
| 11 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 47% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-02 |
| 12 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 43% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-08 |
| 13 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 43% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-19 |
| 14 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 38% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 15 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 37% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-14 |
| 16 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 37% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-24 |
| 17 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 36% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-25 |
| 18 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 35% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-28 |
| 19 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 35% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-28 |
| 20 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 34% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 21 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 34% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-27 |
| 22 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 34% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-14 |
| 23 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 33% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 24 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 32% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-27 |
| 25 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 32% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-28 |
| 26 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 30% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-07 |
| 27 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 30% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 28 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 29% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 29 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 29% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 30 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 28% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-25 |
| 31 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 26% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 32 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 26% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-29 |
| 33 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 25% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-25 |
| 34 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 25% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-18 |
| 35 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 23% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 36 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 23% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 37 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 22% | 48K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-25 |
| 38 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 22% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 39 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 21% | 24K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-25 |
| 40 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 21% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-28 |
| 41 | [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) |  [![](/logos/nvidia.svg) NVIDIA](https://noometry.com/providers/nvidia) | 20% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 42 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 20% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 43 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 19% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-05 |
| 44 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 19% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 45 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 19% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 46 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 19% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 47 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 18% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-17 |
| 48 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 18% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 49 | [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 18% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 50 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 17% | 48K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-25 |
| 51 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 17% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 52 | [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 17% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 53 | [Qwen3.7 Plus](https://noometry.com/models/qwen3-7-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 17% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 54 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 16% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| 55 | [Qwen3.7 Flash](https://noometry.com/models/qwen3-7-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 15% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 56 | [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | 12% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 57 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 12% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 58 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 12% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 59 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 11% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 60 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | [OpenAI](https://noometry.com/providers/openai) | 10% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 61 | [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | [OpenAI](https://noometry.com/providers/openai) | 9% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 62 | [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | [OpenAI](https://noometry.com/providers/openai) | 9% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 63 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 9% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 64 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 8% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| 65 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 8% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 66 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | 7% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 67 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 7% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 68 | [o3-mini](https://noometry.com/models/o3-mini) | [OpenAI](https://noometry.com/providers/openai) | 7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 69 | [Qwen3.6 27B](https://noometry.com/models/qwen3-6-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 7% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 70 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 6% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-15 |
| 71 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 5% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 72 | [Qwen3 Max](https://noometry.com/models/qwen3-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 5% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 73 | [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | 3% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| 74 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 2% | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |

## Compare the leaders

-   [GPT-6 Astra vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-gpt-6-astra)
-   [GPT-6 Astra vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra)
-   [GPT-6 Astra vs Claude Sonnet 5.5](https://noometry.com/compare/claude-sonnet-5-5-vs-gpt-6-astra)
-   [GPT-6 Astra vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-gpt-6-astra)
-   [GPT-6.1 Sol vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-1-sol)
-   [GPT-6.1 Sol vs Claude Sonnet 5.5](https://noometry.com/compare/claude-sonnet-5-5-vs-gpt-6-1-sol)

## 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 Mystery Game Puzzles score?

As of October 2026, GPT-6 Astra has the highest published Mystery Game Puzzles score on Noometry at 84%, out of 74 models with results.

### What is the best open-weight model on Mystery Game Puzzles?

DeepSeek V4.1 Flash has the highest Mystery Game Puzzles accuracy among open-weight models at 43%, ranking 12 of 74 overall.

### Cite this page

Noometry. (2026). Mystery Game Puzzles leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/mystery-game-puzzles

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