Reasoning benchmark

# Surface Evolver Bench leaderboard

> Surface Evolver Bench results for 25 AI models, led by Claude Fable 5 at 95%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/surface-evolver-bench
- Last updated: 2026-10-10
- Title: Surface Evolver Bench Leaderboard (October 2026): Scores by Model

As of October 2026, Claude Fable 5 has the highest published Surface Evolver Bench score on Noometry at 95%, out of 25 models with results.

Last verified October 10, 2026

## About Surface Evolver Bench

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

- **Category:** [Reasoning](https://noometry.com/best/reasoning)
- **Introduced:** 2026
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [epoch.ai](https://epoch.ai/benchmarks)

## Top 15 models

Top models on Surface Evolver Bench

1.  Claude Fable 5 95%
2.  Kimi K3 95%
3.  GPT-5.6 Sol 93.1%
4.  GPT-5.5 88.1%
5.  Claude Opus 4.8 87.5%
6.  GPT-5.6 Terra 83.8%
7.  Gemini 3.8 Flash 76.9%
8.  Grok 4.5 74.4%
9.  GPT-5.6 Luna 61.9%
10.  Claude Sonnet 5 60%
11.  Gemini 3.5 Flash 58.1%
12.  GLM-5.2 55.6%
13.  MiniMax-M3 55%
14.  GLM-5.3-Flash 52.5%
15.  Muse Spark 1.1 52.5%
16.  406080100

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

## All results

Surface Evolver Bench 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) | 95% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 95% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 93.1% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 88.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 87.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 83.8% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 76.9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 74.4% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 61.9% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 60% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 58.1% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 55.6% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 55% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 52.5% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 15 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 52.5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 16 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 48.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 17 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 46.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 18 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 45% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 19 | [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 44.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 20 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 40% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 21 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 30.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 22 | [Mistral Medium](https://noometry.com/models/mistral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 26.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 23 | [gpt-oss-120b](https://noometry.com/models/gpt-oss-120b) | [OpenAI](https://noometry.com/providers/openai) | 25% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 24 | [Laguna M.1](https://noometry.com/models/laguna-m-1) |  [![](/logos/poolside.svg) Poolside](https://noometry.com/providers/poolside) | 15.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 25 | [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) |  [![](/logos/arcee.svg) Arcee AI](https://noometry.com/providers/arcee) | 15.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [Claude Fable 5 vs Kimi K3](https://noometry.com/compare/claude-fable-5-vs-kimi-k3)
-   [Claude Fable 5 vs GPT-5.6 Sol](https://noometry.com/compare/claude-fable-5-vs-gpt-5-6-sol)
-   [Claude Fable 5 vs GPT-5.5](https://noometry.com/compare/claude-fable-5-vs-gpt-5-5)
-   [Claude Fable 5 vs Claude Opus 4.8](https://noometry.com/compare/claude-fable-5-vs-claude-opus-4-8)
-   [Kimi K3 vs GPT-5.6 Sol](https://noometry.com/compare/gpt-5-6-sol-vs-kimi-k3)
-   [Kimi K3 vs GPT-5.5](https://noometry.com/compare/gpt-5-5-vs-kimi-k3)

## 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 Surface Evolver Bench score?

As of October 2026, Claude Fable 5 has the highest published Surface Evolver Bench score on Noometry at 95%, out of 25 models with results.

### What is the best open-weight model on Surface Evolver Bench?

Kimi K3 has the highest Surface Evolver Bench accuracy among open-weight models at 95%, ranking 2 of 25 overall.

### Cite this page

Noometry. (2026). Surface Evolver Bench leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/surface-evolver-bench

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