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SKYNET

mistral/mistral-large

Mistral Large (vision-capable)

⚖ COMPARE MODELS
VALS INDEX
43.0% +/- 36.2
Accuracy
VALS INDEX
5.5s
Latency (median)
$VALS INDEX
$0.0305
Cost / Test (1P-est)
SCORE STATUSscored
TEST SETS13
RECORDED TRIALS683
CUSTOM PASS40%

Industry benchmarks

Accuracyattempts · responded
GPQA_DIAMOND GPQA Diamond
17.2%
180 attempts · 115 responded
HUMANEVAL_PLUS HumanEval+
90.0%
40 attempts · 36 responded
IFEVAL IFEval
52.6%
180 attempts · 140 responded
MMLU_PRO MMLU-Pro
12.0%
200 attempts · 135 responded
Industry benchmark Bars = accuracy %, black cap = that score

Custom 9-task suite

Mean /5n=trials
CUSTOM json_strict
4.09
11 trials
CUSTOM code_debug
3.91
11 trials
CUSTOM refactor_existing_code -
3.67
3 trials
CUSTOM agentic_prompt
3.18
11 trials
CUSTOM agentic_tool_use -
3.00
3 trials
CUSTOM code_gen_long
1.36
11 trials
CUSTOM reasoning_multistep
1.36
11 trials
CUSTOM summarize
1.36
11 trials
CUSTOM creative_write -
0.00
11 trials
Custom suite · scored 0–5 by consensus (m3 + Fable-5) ★ = task scored a 5 at least once · sorted by mean score

Cross-judge validation

m3 vs Fable-5 Δ

No judge bias detected on this model — m3 and Fable-5 agree across all tasks.

Per-task distribution

Score

All trials on this page were run through the harness. Industry suites use deterministic family-specific reference graders (no LLM judge). The custom suite is graded by consensus of minimax-m3 + claude-fable-5. See /industry/ for the full benchmark suite.