Atlas

Benchmarks

← All benchmarks

MLCR-AA Completeness (Judged Responses)

Professional Work

MLCR-AA completeness among responses sent to the judge panel. It uses the conditional judged-response denominator and does not penalize excluded overlong or empty responses.

Top models (higher is better)

ModelScore
Claude Fable 5.189.0
Claude Sonnet 5.588.4
Claude Opus 5.588.4
Claude Opus 586.1
Claude Haiku 5.581.3
Claude Fable 573.8
Sonnet 568.2
GLM-5.3 Flash63.8
GLM-5.362.0
Sonnet 4.657.9
Opus 4.852.0
Muse Spark 1.251.7
Muse Spark 1.349.7
Kimi K345.1
MiMo-V2.6-Pro42.1
Opus 4.740.3
GPT-6 Astra36.8
GPT-6.1 Sol36.2
MiniMax M334.7
Muse Glimmer 30B33.9
GPT-5.6 Terra33.9
GPT-5.6 Sol27.6
DeepSeek V4.1 Flash27.0
Gemini 3.8 Flash26.9
DeepSeek-V4-Pro26.3
Qwen3.8 27B25.6
Inkling24.7
DeepSeek V4 Pro 081323.4
Gemini 3.5 Flash23.3
Qwen3.8-Max23.2
Qwen3.8 Max (0902)22.1
GPT-5.6 Luna21.8
Kimi K2.7 Code21.6
Step 5 Preview21.3
Gemini 3.7 Flash20.9
Nemotron 3 Ultra 550B A55B20.5
Gemini 3.6 Flash19.8
GPT-5.519.5
DeepSeek-V4-Flash19.4
Grok 4.718.8
Loading Atlas data…