VECTOR WIREAI INTELLIGENCE
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Gemma 4 31B vs Qwen3.6 27B

GooglevsAlibaba54 shared benchmarks1044 head-to-head
BenchmarkGemma 4 31BQwen3.6 27B
AA Agentic Index14.427.5
AA Intelligence29.737.7
AA-LCR68.373.3
AA-Omniscience-47.9-20
aime_202689.294.1
Artificial Analysis Coding Index43.453.7
C-Eval82.691.4
CC-OCR75.781.2
charxiv_rq67.978.4
Claw Eval (pass@3)2560.6
Claw-Eval Avg48.572.4
critpt1.41.1
DynaMath79.585.6
ERQA57.562.5
gdpval15.532
GPQA Diamond85.787.8
HLE26.524
hmmt_feb_202588.793.8
hmmt_feb_202677.284.3
hmmt_nov_202587.590.7
IFBench75.669.1
imo_answer_bench74.580.8
LiveCodeBench v68083.9
mathvision85.685.1
MathVista79.387.4
MMBench EN-DEV-v1.190.992.3
mmlu_redux93.793.5
MMLU-Pro85.286.2
MMMU80.482.9
MMMU-Pro76.975.8
MMStar77.381.4
nl2repo15.536.2
OCRBench86.189.4
OmniDocBench 1.580.189.4
OmniScience Accuracy2019.6
OmniScience Non-Hallucination18.150.7
QwenClawBench41.753.4
QwenWebBench11971487
RealWorldQA72.384.1
RefSpatial-Bench4.770
scicode43.439.8
SimpleVQA52.956.1
SkillsBench Avg523.648.2
supergpqa65.766
SWE-bench Multilingual51.771.3
SWE-bench Pro35.753.5
SWE-bench Verified5277.2
TauBench V3 - Banking14.816.7
Terminal-Bench 2.042.959.3
Terminal-Bench 2.143.460.7
Terminal-Bench Hard36.434.8
VlmsAreBlind87.297
τ²-Bench Telecom (AA run)65.594.2
τ³-Bench67.515.3

Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing.