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Gemini 3 Pro

Google

Strongest in Tool use (#3 of 81), weakest in Safety (#152 of 329). 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 Gemini 3.5 Flash and MiMo V2.6 Pro.

§ 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.

Agents60#13/298
Tool use74#3/81
Core abilities59.3#14/199
General intelligence63.4#15/178
Reasoning59.2#14/195
Science60.9#18/122
Mathematics58.1#22/152
Reasoning59#25/147
Human preference64.9#18/354
Human preference64.9#18/354
Knowledge54.6#40/197
Academic knowledge61.1#7/123
Professional53.8#45/194
Finance56.2#36/162
Medical55.2#39/149
Legal50.2#88/173
Coding46.3#111/179
Agentic coding46#107/173
Safety51.2#152/329
Safe-prompt compliance57.1#20/82
Fairness58.4#43/292
Factual grounding40.7#89/104
Harm refusal50.2#150/292

§ 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.

MiMo V2.5won 14 · lost 0
Qwen3.6 Pluswon 15 · lost 0
GLM-4.5won 16 · lost 0
Mistral Medium 3.5won 16 · lost 0
Grok 4.20won 16 · lost 0
Inkling Smallwon 17 · lost 0
Gemini 3.5 Flash-Litewon 17 · lost 0
Kimi K2.5won 21 · lost 0
Llama 4 Scout Instructwon 20 · lost 1
Grok 4.1 Fastwon 19 · lost 1
Mistral Large 3won 18 · lost 1
Qwen3.7 Maxwon 18 · lost 1
GPT OSS 20Bwon 17 · lost 1
MiniMax M2.5won 17 · lost 1
Grok 4 Fastwon 17 · lost 1
Grok 4.3won 17 · lost 1
Gemma 4 31Bwon 16 · lost 1
Gemini 1.5 Prowon 15 · lost 1
Command R+won 14 · lost 1
Qwen3 Maxwon 14 · lost 1
Ling 3.0 Flashwon 13 · 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
DeepSeek V4 Flashwon 18 · lost 2
GPT-5.4 nanowon 17 · 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
Llama 3.3 70B Instructwon 15 · lost 2
MiMo V2.5 Prowon 15 · lost 2
GPT OSS 120Bwon 19 · lost 3
Grok 4won 19 · lost 3
Mistral Large 2.1won 12 · lost 2
Claude Opus 4.1won 12 · lost 2
Claude Haiku 4.5won 18 · lost 3
Inklingwon 17 · lost 3
GLM-5.2won 17 · lost 3
Kimi K2.6won 16 · lost 3
Mistral Large 4won 14 · lost 3
GLM-4.7won 14 · lost 3
DeepSeek V3.2won 18 · lost 4
MiniMax M2.1won 13 · lost 3
MiMo V2.6 Flashwon 13 · lost 3
Gemini 3 Flashwon 13 · lost 3
Grok 3won 17 · lost 4
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
MiniMax M2.7won 14 · lost 4
GPT-6 Lunawon 14 · lost 4
GLM-5.1won 14 · lost 4
GPT-4.1 miniwon 17 · lost 5
Qwen3.8 27Bwon 13 · lost 4
GLM-5.3won 13 · lost 4
GPT-5 nanowon 16 · lost 5
Grok 3 Miniwon 15 · lost 5
MiniMax M3won 15 · lost 5
O4 Miniwon 17 · lost 6
Kimi K2won 17 · lost 6
O3 Miniwon 14 · lost 5
Claude 3.7 Sonnetwon 14 · lost 5
Qwen3.5 Flashwon 11 · lost 4
Claude Haiku 5.5won 11 · lost 4
Gemini 2.5 Prowon 16 · lost 6
O3won 15 · lost 6
DeepSeek V4 Prowon 15 · lost 6
DeepSeek V4.1 Flashwon 12 · lost 5
GPT-5 miniwon 16 · lost 7
Qwen3 235B A22B Instructwon 16 · lost 7
Claude 3.5 Haikuwon 11 · lost 5
Claude Sonnet 4won 15 · lost 7
O1won 12 · lost 6
Claude Opus 4won 14 · lost 7
GPT-4.1won 15 · lost 8
Claude Sonnet 4.5won 15 · lost 8
GPT-5.6 Lunawon 13 · lost 7
GPT-5.1won 13 · lost 7
Grok 4.5won 13 · lost 7
GLM-5.3 Flashwon 13 · lost 7
Qwen3.8 Maxwon 13 · lost 7
Claude 3.5 Sonnetwon 11 · lost 6
GPT-5won 14 · lost 8
Claude Sonnet 5won 12 · lost 7
Gemini 3.6 Flashwon 12 · lost 7
Claude Sonnet 4.6won 12 · lost 8
Claude Opus 4.5won 12 · lost 8
GPT-5.4won 12 · lost 9
Grok 4.6won 11 · lost 9
GPT-5.6 Terrawon 11 · lost 9
Grok 4.7won 9 · lost 8
MiMo V2.6 Prowon 9 · lost 8
Gemini 3.5 Flashwon 10 · lost 9
GPT-5.2won 11 · lost 11
Kimi K3won 8 · lost 9
GPT-6 Solwon 8 · lost 10
Gemini 3.1 Prowon 8 · lost 10
Muse Spark 1.2won 6 · lost 9
Claude Opus 4.8won 8 · lost 12
Gemini 3.8 Flashwon 8 · lost 12
Claude Opus 4.6won 8 · lost 12
Muse Spark 1.1won 7 · lost 11
GPT-5.6 Solwon 8 · lost 13
Muse Sparkwon 5 · lost 9
Claude Opus 4.7won 7 · lost 14
GPT-6 Astrawon 5 · lost 12
GPT-6.1 Solwon 4 · lost 11
Gemini 3.7 Flashwon 4 · lost 12
Claude Sonnet 5.5won 3 · lost 12
GPT-5.5won 4 · lost 17
Gemini 4 Argonwon 2 · lost 14
Claude Fable 5.1won 1 · lost 16
Claude Opus 5won 1 · lost 18
Claude Fable 5won 0 · lost 17
Claude Opus 5.5won 0 · lost 19

§ 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 2026-11-10
LMArena Text 1486
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 54%
BFCL ↗1 measureread 2026-11-10
BFCL v4 72.51%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 80.1%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 76.4%
Vals.ai ↗13 measuresread 2026-11-10
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 2026-11-10
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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