Coding benchmark

# MirrorCode leaderboard

> MirrorCode results for 9 AI models, led by Claude Opus 5.5 at 77.4%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/mirrorcode
- Last updated: 2026-10-10
- Title: MirrorCode Leaderboard (October 2026): Scores by Model

As of October 2026, Claude Opus 5.5 has the highest published MirrorCode score on Noometry at 77.4%, out of 9 models with results.

Last verified October 10, 2026

## About MirrorCode

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

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

## Top 9 models

Top models on MirrorCode

1.  Claude Opus 5.5 77.4%
2.  Claude Fable 5.1 73.3%
3.  Claude Fable 5 63.9%
4.  GPT-6 Astra 46.7%
5.  Claude Opus 4.7 31.1%
6.  GPT-5.6 Sol 20%
7.  GPT-5.4 15.6%
8.  GPT-5.5 10%
9.  Gemini 3.1 Pro Preview 8.9%
10.  020406080

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

## All results

MirrorCode 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) | 77.4% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| 2 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 73.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-10 |
| 3 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 63.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 4 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 46.7% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| 5 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 31.1% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-12 |
| 6 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 20% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 7 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 15.6% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 8 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 10% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| 9 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 8.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |

## Compare the leaders

-   [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 Claude Fable 5](https://noometry.com/compare/claude-fable-5-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 Opus 5.5 vs Claude Opus 4.7](https://noometry.com/compare/claude-opus-4-7-vs-claude-opus-5-5)
-   [Claude Fable 5.1 vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-claude-fable-5-1)
-   [Claude Fable 5.1 vs GPT-6 Astra](https://noometry.com/compare/claude-fable-5-1-vs-gpt-6-astra)

## Other coding benchmarks

-   [SWE-bench Verified](https://noometry.com/benchmarks/swe-bench-verified)
-   [DeepSWE](https://noometry.com/benchmarks/deepswe)
-   [FrontierCode](https://noometry.com/benchmarks/frontiercode)
-   [SWE-bench Verified (bash only)](https://noometry.com/benchmarks/swe-bench-bash-only)
-   [Aider Polyglot](https://noometry.com/benchmarks/aider-polyglot)
-   [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev)
-   [CursorBench](https://noometry.com/benchmarks/cursorbench)
-   [SWE-bench Multilingual](https://noometry.com/benchmarks/swe-bench-multilingual)
-   [FrontierSWE](https://noometry.com/benchmarks/frontierswe)
-   [SciCode](https://noometry.com/benchmarks/scicode)
-   [GSO](https://noometry.com/benchmarks/gso-bench)
-   [WeirdML](https://noometry.com/benchmarks/weirdml)

## Frequently asked questions

### Which model has the highest MirrorCode score?

As of October 2026, Claude Opus 5.5 has the highest published MirrorCode score on Noometry at 77.4%, out of 9 models with results.

### Cite this page

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

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