★VALS INDEX
58.0%
+/- 22.0
Accuracy
⏱VALS INDEX
26.0s
Latency (median)
$VALS INDEX
$0.1176
Cost / Test (1P-est)
SCORE STATUSscored
TEST SETS13
RECORDED TRIALS700
CUSTOM PASS64%
DEEP VALIDATION · 2026-08-20
FULL REPORT →Dual-judge family campaign
CONSENSUS MEAN3.867 / 5
BOTH-JUDGE PASS60.0%
CROSS-JUDGED45 / 45
MEDIAN WALL21.18s
GPQA_DIAMONDserialized verification sample
42.5%
40/40 responses
IFEVALserialized verification sample
67.5%
40/40 responses
MMLU_PROserialized verification sample
47.5%
40/40 responses
Industry benchmarks
Accuracyattempts · responded
GPQA_DIAMOND
GPQA Diamond
41.0%
200 attempts · 190 responded
HUMANEVAL_PLUS
HumanEval+
82.5%
40 attempts · 40 responded
IFEVAL
IFEval
70.6%
180 attempts · 173 responded
MMLU_PRO
MMLU-Pro
38.0%
200 attempts · 172 responded
Custom 9-task suite
Mean /5n=trials
CUSTOM
json_strict
★
5.00
9 trials
CUSTOM
reasoning_multistep
★
5.00
9 trials
CUSTOM
code_gen_long
★
4.11
9 trials
CUSTOM
summarize
★
4.00
9 trials
CUSTOM
agentic_tool_use
★
3.83
6 trials
CUSTOM
refactor_existing_code
★
3.83
6 trials
CUSTOM
agentic_prompt
★
3.33
9 trials
CUSTOM
code_debug
-
2.79
14 trials
CUSTOM
creative_write
-
0.00
9 trials
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
The accumulated custom suite below uses minimax-m3 + claude-fable-5 consensus. The dedicated 2026-08-20 campaign above is supplemental and uses minimax-m3 + a blind grok-4.6 re-judge on every successful response. Industry suites use deterministic family-specific graders. See methodology and the campaign report.