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Gemma 4 31B

Google · 31B · open weights

Strongest in Data analysis (#30 of 31), weakest in Agents (#298 of 298). Above par in 11 of 35 scopes. Among the models it meets almost everywhere, it finishes behind Grok 4.6 and DeepSeek V4.1 Flash and ahead of DeepSeek R1.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Knowledge53.5#52/197
Document parsing53.7#39/83
Factuality39.4—/0✱
Human preference61.7#64/354
Human preference61.7#64/354
Professional43.8#157/194
Document design26#30/31
Finance50.6#95/162
Legal43.4#135/173
Coding39.7#170/179
Agentic coding38.7#167/173
Code generation55.9—/20✱
Reasoning38.7#176/195
Reasoning31.8#147/147
Science49.7—/122✱
Expert reasoning44—/0✱
Safety49.7#185/329
Factual grounding56.4#35/104
Secure code60.4#63/270
Toxicity avoidance52.6#156/268
Harm refusal48.7#172/292
Jailbreak resistance42.1#208/268
Fairness41.2#261/292
Core abilities37.7#197/199
Data analysis26#30/31
General intelligence40.2#149/178
Long context49.8—/0✱
Agents35.4#298/298
Long-horizon work34.2#31/31
Web research30#35/35
Computer use30#68/68
Knowledge work41.2#145/208
Tool use45.8—/81✱
Decisions60.2—/234✱
Routing & classification63.7—/234✱

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Gemma 4 31B, left for the other.

DeepSeek R1won 11 · lost 10
DeepSeek V3won 10 · lost 11
DeepSeek V3.2won 9 · lost 12
MiniMax M3won 7 · lost 14
Gemini 2.5 Prowon 7 · lost 14
GPT OSS 120Bwon 6 · lost 15
GPT-5 miniwon 6 · lost 16
Claude Sonnet 4won 6 · lost 16
Kimi K2.5won 6 · lost 16
Mistral Large 4won 6 · lost 18
Inklingwon 5 · lost 20
GPT-6 Lunawon 5 · lost 21
GPT-5won 4 · lost 17
DeepSeek V4 Prowon 4 · lost 17
Gemini 3.5 Flashwon 3 · lost 18
Claude Sonnet 4.5won 3 · lost 19
GLM-5.3 Flashwon 3 · lost 23
GPT-6 Solwon 2 · lost 19
GPT-5.4won 2 · lost 20
GPT-5.5won 2 · lost 20
Claude Opus 4.7won 2 · lost 20
GPT-5.6 Solwon 2 · lost 21
Grok 4.7won 2 · lost 22
GPT-5.6 Lunawon 1 · lost 20
Grok 4.5won 1 · lost 20
Claude Opus 4.8won 1 · lost 20
GPT-6 Astrawon 1 · lost 21
MiMo V2.6 Prowon 1 · lost 23
Qwen3.8 Maxwon 1 · lost 24
GPT-5.6 Terrawon 1 · lost 25
Gemini 3.8 Flashwon 1 · lost 25
Claude Opus 5.5won 1 · lost 26
DeepSeek V4.1 Flashwon 0 · lost 22
Grok 4.6won 0 · lost 25

§ 3 · Sources

Where the numbers come from

12 publications, 38 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1452
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 4
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 627
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 369
LiveBench ↗8 measuresread 2026-11-10
LiveBench 32.4LiveBench · Agentic 8.5LiveBench · Reasoning 68.3LiveBench · Coding 20.3LiveBench · Browser Use 0LiveBench · Data Analysis 53.3LiveBench · Research 38.1LiveBench · Design 56.5
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 63.5%
Vals.ai ↗2 measuresread 2026-11-10
Vals · CaseLaw 52.63%Vals · MortgageTax 61.37%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 62.4%ParseBench · Tables 80.6%ParseBench · Charts 15%ParseBench · Content faithfulness 89.9%ParseBench · Semantic formatting 69.3%ParseBench · Visual grounding 57.4%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 19.4%Enkrypt · Harmful content risk 6.1%Enkrypt · CBRN risk 33.3%Enkrypt · Toxicity risk 4.4%Enkrypt · Bias risk 91.5%Enkrypt · Insecure code risk 12%
Vectara · Factual consistency 92.6%
tau3-Banking 14.8%Terminal-Bench 2.1 43.4%SciCode 43.4%Humanity's Last Exam (without tools) 23.6%GPQA Diamond 85.7%CritPt 1.4%AA-LCR 68.3%AA-Omniscience Accuracy 20%AA-Omniscience Non-Hallucination 15%
Decision correct 77%

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✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-10 · the full index · JSON API