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Gemini 3 Pro

Google

Strongest in Tool use (#3 of 81), weakest in Safety (#155 of 337). Above par in 20 of 23 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5 and ahead of Qwen3.8 Max and GPT-5.6 Terra.

§ 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.

Knowledge59.2#8/138
Academic knowledge61.1#7/123
Core abilities59.3#11/204
General intelligence63.4#8/204
Reasoning59.9#12/178
Reasoning60.9#15/140
Mathematics58.1#17/140
Science60.9#18/122
Agents63.3#14/268
Tool use74#3/81
Human preference65.2#15/342
Human preference65.2#15/342
Professional54.1#41/168
Medical55.6#32/140
Finance56.2#33/151
Legal50.3#75/151
Coding47.2#95/165
Agentic coding46.8#89/157
Safety51.2#155/337
Safe-prompt compliance57.1#20/82
Fairness58.4#44/300
Factual grounding40.9#86/101
Harm refusal50.2#154/300

§ 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 Gemini 3 Pro, left for the other.

Ling 3.0 Flashwon 14 · lost 0
Grok 4.20won 14 · lost 0
Mimo V2.5won 14 · lost 0
Nemotron 3 Ultrawon 15 · lost 0
Inkling Smallwon 15 · lost 0
MiniMax M2.5won 16 · lost 0
GLM-4.5won 16 · lost 0
Mistral Medium 3.5won 16 · lost 0
Qwen3.6 Pluswon 17 · lost 0
Gemini 3.5 Flash Litewon 17 · lost 0
Qwen3.7 Maxwon 20 · lost 0
Kimi K2.5won 21 · lost 0
Llama 4 Scout Instructwon 20 · lost 1
Grok 4.1 Fastwon 19 · lost 1
Grok 4.3won 19 · lost 1
Mistral Large 3won 18 · lost 1
GPT OSS 20Bwon 17 · lost 1
Mistral Smallwon 17 · lost 1
Grok 4 Fastwon 17 · lost 1
Gemini 1.5 Prowon 15 · lost 1
Command R Pluswon 14 · lost 1
Qwen3 Maxwon 14 · lost 1
Gemini 1.5 Flashwon 13 · lost 1
GPT-4.1 Nanowon 20 · lost 2
DeepSeek V3won 20 · lost 2
Command Awon 19 · lost 2
GLM-4.6won 19 · lost 2
GPT-4o Miniwon 18 · lost 2
Gemini 2.0 Flashwon 18 · lost 2
GPT-5.4 Nanowon 17 · lost 2
Mimo V2.5 Prowon 17 · lost 2
Grok 3won 16 · lost 2
Gemini 3.1 Flash Litewon 16 · lost 2
GPT-5.4 Miniwon 16 · lost 2
GLM-5won 16 · lost 2
Kimi K2 Thinkingwon 15 · lost 2
Gemini 3 Flashwon 14 · lost 2
Claude Haiku 4.5won 20 · lost 3
Grok 3 Miniwon 13 · lost 2
Qwen3.5 Flashwon 13 · lost 2
GLM-4.7won 13 · lost 2
GPT OSS 120Bwon 19 · lost 3
Grok 4won 19 · lost 3
DeepSeek V3.2won 19 · lost 3
MiniMax M2.1won 12 · lost 2
Claude Opus 4.1won 12 · lost 2
Inklingwon 18 · lost 3
Kimi K2.6won 18 · lost 3
GLM-5.2won 18 · lost 3
DeepSeek V4 Flashwon 17 · lost 3
Qwen3.8 27Bwon 15 · lost 3
Gemma 4 31Bwon 15 · lost 3
MiniMax M2.7won 14 · lost 3
Mistral Largewon 13 · lost 3
Claude 3.5 Haikuwon 13 · lost 3
DeepSeek V4.1 Flashwon 13 · lost 3
DeepSeek R1won 17 · lost 4
Gemini 2.5 Flash Litewon 16 · lost 4
GPT-4owon 15 · lost 4
Gemini 2.5 Flashwon 18 · lost 5
GLM-5.1won 14 · lost 4
GPT-4.1 Miniwon 17 · lost 5
GPT-6 Lunawon 13 · lost 4
GPT-5 Nanowon 16 · lost 5
MiniMax M3won 16 · lost 5
O4 Miniwon 17 · lost 6
Kimi K2won 17 · lost 6
O3 Miniwon 14 · lost 5
Claude 3.7 Sonnetwon 14 · lost 5
Qwen3 235B A22B Instructwon 16 · lost 6
O3won 16 · lost 6
Gemini 2.5 Prowon 16 · lost 6
GPT-5.6 Lunawon 15 · lost 6
Claude 3.5 Sonnetwon 12 · lost 5
GLM-5.3won 12 · lost 5
Gemini 3.6 Flashwon 14 · lost 6
GPT-5 Miniwon 16 · lost 7
Claude Sonnet 4won 15 · lost 7
O1won 12 · lost 6
Claude Opus 4won 14 · lost 7
DeepSeek V4 Prowon 14 · lost 7
GPT-4.1won 15 · lost 8
Claude Sonnet 4.5won 15 · lost 8
GPT-5.1won 13 · lost 7
Grok 4.5won 13 · lost 7
GLM-5.3 Flashwon 13 · lost 7
Claude Opus 4.5won 13 · lost 7
Gemini 3.5 Flashwon 13 · lost 7
GPT-5won 14 · lost 8
Claude Sonnet 5won 13 · lost 8
Claude Sonnet 4.6won 13 · lost 8
GPT-5.4won 13 · lost 8
GPT-5.6 Terrawon 12 · lost 9
Qwen3.8 Maxwon 11 · lost 9
GPT-6 Solwon 9 · lost 9
Grok 4.6won 10 · lost 10
Claude Opus 4.8won 10 · lost 10
GPT-5.2won 11 · lost 11
Gemini 3.1 Prowon 9 · lost 10
Grok 4.7won 8 · lost 9
Mimo V2.6 Prowon 7 · lost 8
Muse Spark 1.1won 9 · lost 11
Claude Opus 4.6won 9 · lost 11
Muse Spark 1.2won 7 · lost 9
Claude Opus 4.7won 9 · lost 12
Kimi K3won 7 · lost 10
Gemini 3.8 Flashwon 8 · lost 12
GPT-5.6 Solwon 8 · lost 13
Muse Sparkwon 5 · lost 9
Gemini 3.7 Flashwon 6 · lost 11
GPT-6 Astrawon 4 · lost 12
GPT-5.5won 5 · lost 16
Claude Opus 5won 2 · lost 18
Claude Fable 5.1won 0 · lost 17
Claude Fable 5won 0 · lost 17
Claude Opus 5.5won 0 · lost 17

§ 3 · Sources

Where the numbers come from

8 publications, 24 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1485
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 54%
BFCL ↗1 measureread 2026-09-26
BFCL v4 72.51%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 80.1%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 76.4%
Vals.ai ↗13 measuresread 2026-09-26
Vals · CaseLaw 53.05%Vals · LegalBench 87.03%Vals · CorpFin 63.67%Vals · TaxEval 72.57%Vals · MortgageTax 69.08%Vals · MedQA 96.03%Vals · MedCode 52.2%Vals · MedScribe 72.04%Vals · SWE-bench Verified 76.4% (Mini-SWE-agent)Vals · Vibe Code Bench 14.3% (OpenHands)Vals · GPQA Diamond 91.67%Vals · MMLU Pro 90.1%Vals · AIME 96.68%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 72.5%HELM Safety · SimpleSafetyTests 97.5%HELM Safety · Anthropic Red Team 97.1%HELM Safety · BBQ 98.4%HELM Safety · XSTest 97.3%
Vectara · Factual consistency 86.4%

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