llmrun
Coding

MirrorCode Leaderboard

MirrorCode, from Epoch AI and METR, asks coding agents to reimplement entire programs without seeing their source code. Agents can probe the original program, and their implementations must reproduce its outputs on end-to-end tests, including held-out cases. This leaderboard uses Epoch's best score across scorers.

Source: epoch5 open models ranked+41 proprietaryData through Oct 2026

All models ranked on MirrorCode

Proprietary / closed models are shown dimmed — you can't run them locally, but they show where the open field stands.

#ModelScoreVRAM @ Q4
1Claude Sonnet 5.5 Max · proprietary
97.8%
API only
2Claude Opus 5.5 Max · proprietary
95.6%
API only
3Claude Fable 5.1 Max · proprietary
93.3%
API only
4Claude Opus 5 Max · proprietary
87.8%
API only
5Claude Haiku 5.5 Max · proprietary
78.9%
API only
6Claude Opus 5.5 (high) · proprietary
78.9%
API only
7GPT 6.1 Terra Max · proprietary
76.7%
API only
8Claude Fable 5.1 (high) · proprietary
73.3%
API only
9Claude Fable 5 Max · proprietary
70.0%
API only
10Claude Opus 4.8 Max · proprietary
65.6%
API only
11DeepSeek V4.1 Flash · 763.2B
64.4%
~458 GB
12Claude Fable 5 (high) · proprietary
63.9%
API only
13Claude Sonnet 5 Max · proprietary
63.3%
API only
14GPT 6.1 Sol Max · proprietary
61.1%
API only
15GPT 6 Astra Max · proprietary
60.0%
API only
16Gemini 4 Argon (high) · proprietary
58.9%
API only
17Grok 4.7 (xhigh) · proprietary
54.4%
API only
18Kimi K3 · 2779.9B
54.4%
~1674 GB
19Muse Spark 1.3 Max · proprietary
54.4%
API only
20Qwen3.8 Max (xhigh) · proprietary
52.2%
API only
21GPT 6 Sol Max · proprietary
48.9%
API only
22Qwen3.8 Max (Sep 02, xhigh) · proprietary
47.8%
API only
23GPT 6 Astra (high) · proprietary
46.7%
API only
24Muse Wonder 1.0 Max · proprietary
45.6%
API only
25Claude Opus 4.7 Max · proprietary
43.3%
API only
26Gemini 3.7 Flash (high) · proprietary
41.1%
API only
27GPT 5.6 Terra Max · proprietary
41.1%
API only
28Grok 4.6 (xhigh) · proprietary
41.1%
API only
29Mistral Large 4 1T A52B · 1000B
40.0%
~604 GB
30Gemini 3.8 Flash (high) · proprietary
38.9%
API only
31GLM 5.2 · 753.3B
36.7%
~456 GB
32Claude Opus 4.6 Max · proprietary
33.3%
API only
33DeepSeek V4 Pro 0813 · 1650.5B
33.3%
~991 GB
34GPT 5.2 (Dec 11, 2025, xhigh) · proprietary
32.2%
API only
35Grok 4.5 (high) · proprietary
32.2%
API only
36Claude Opus 4.7 (high) · proprietary
31.1%
API only
37GPT 6 Luna Max · proprietary
26.7%
API only
38Gemini 3.6 Flash (high) · proprietary
23.3%
API only
39GPT 5.4 (Mar 05, 2026, xhigh) · proprietary
23.3%
API only
40GPT 5.5 (xhigh) · proprietary
23.3%
API only
41GPT 5.6 Luna Max · proprietary
21.1%
API only
42GPT 5.6 Sol (high) · proprietary
20.0%
API only
43GPT 5.4 (Mar 05, 2026, high) · proprietary
15.6%
API only
44GPT 5.5 (high) · proprietary
10.0%
API only
45Gemini 3.1 Pro Preview (high) · proprietary
8.9%
API only
46GPT 5 (Aug 07, 2025, high) · proprietary
4.4%
API only

Score vs model size

Which models give the most quality for their size — the ones worth running locally.

753B2.8Tmodel size (log scale) →64.4%33.3%Kimi K3 · 2.8T · 54.4%Mistral Large 4 1T A52B · 1T · 40.0%DeepSeek V4 Pro 0813 · 1.7T · 33.3%GLM 5.2 · 753B · 36.7%GLM 5.2DeepSeek V4.1 Flash · 763B · 64.4%DeepSeek V4.1 Flash
Each dot is a model. Up = higher score, left = smaller (easier to run locally). The dashed line marks the efficiency frontier — the best score you can get at each size or smaller.
  • GLM 5.2, 753B, score 36.7% — on the efficiency frontier (best score at its size or smaller).
  • DeepSeek V4.1 Flash, 763B, score 64.4% — on the efficiency frontier (best score at its size or smaller).

MirrorCode: frequently asked questions

What is the best open LLM on MirrorCode?
DeepSeek V4.1 Flash is the top open model on MirrorCode, scoring 64.4%. Among all models tested — including proprietary ones — it ranks #11. The top model overall is Claude Sonnet 5.5 Max (Anthropic) at 97.8%.
Can open models match proprietary models on MirrorCode?
Not quite on MirrorCode: the strongest proprietary model (Claude Sonnet 5.5 Max) scores 97.8%, ahead of the best open model (DeepSeek V4.1 Flash) at 64.4% — but you can run the open one yourself.

Scores aggregated from epoch. llmrun does not run this benchmark — see the source for methodology, or the about benchmarks for what it measures.