skynet · general
SKYNET

zai-coding/glm-4.7

ZAI GLM-4.7

⚖ COMPARE MODELS
VALS INDEX
21.6% +/- 5.8
Accuracy
VALS INDEX
64.8s
Latency (median)
$VALS INDEX
$0.5048
Cost / Test (1P-est)
SCORE STATUSscored
TEST SETS13
RECORDED TRIALS556
CUSTOM PASS50%

Industry benchmarks

Accuracyattempts · responded
GPQA_DIAMOND GPQA Diamond
15.4%
130 attempts · 21 responded
HUMANEVAL_PLUS HumanEval+
25.0%
40 attempts · 10 responded
IFEVAL IFEval
27.8%
130 attempts · 46 responded
MMLU_PRO MMLU-Pro
18.0%
200 attempts · 68 responded
Industry benchmark Bars = accuracy %, black cap = that score

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 agentic_tool_use
4.40
5 trials
CUSTOM summarize -
3.88
8 trials
CUSTOM refactor_existing_code -
3.60
5 trials
CUSTOM agentic_prompt
3.38
8 trials
CUSTOM code_debug -
1.50
8 trials
CUSTOM creative_write -
0.00
8 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.