★VALS INDEX
30.5%
+/- 25.4
Accuracy
⏱VALS INDEX
25.2s
Latency (median)
$VALS INDEX
$0.2921
Cost / Test (1P-est)
SCORE STATUSscored
TEST SETS13
RECORDED TRIALS708
CUSTOM PASS50%
DEEP VALIDATION · 2026-08-20
FULL REPORT →Dual-judge family campaign
CONSENSUS MEAN3.878 / 5
BOTH-JUDGE PASS75.6%
CROSS-JUDGED45 / 45
MEDIAN WALL18.87s
GPQA_DIAMONDserialized verification sample
52.0%
23/25 responses
IFEVALserialized verification sample
76.0%
25/25 responses
MMLU_PROserialized verification sample
84.0%
25/25 responses
Industry benchmarks
Accuracyattempts · responded
GPQA_DIAMOND
GPQA Diamond
22.3%
202 attempts · 126 responded
HUMANEVAL_PLUS
HumanEval+
68.0%
50 attempts · 40 responded
IFEVAL
IFEval
12.4%
140 attempts · 26 responded
MMLU_PRO
MMLU-Pro
19.2%
260 attempts · 169 responded
Custom 9-task suite
Mean /5n=trials
CUSTOM
code_gen_long
★
5.00
8 trials
CUSTOM
json_strict
★
5.00
3 trials
CUSTOM
reasoning_multistep
★
5.00
3 trials
CUSTOM
summarize
★
4.62
8 trials
CUSTOM
agentic_prompt
★
3.50
8 trials
CUSTOM
code_debug
-
2.38
8 trials
CUSTOM
refactor_existing_code
★
1.80
5 trials
CUSTOM
creative_write
-
0.62
8 trials
CUSTOM
agentic_tool_use
-
0.00
5 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.