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Gemini 2.5 Pro

Google

Strongest in Safe-prompt compliance (#4 of 82), weakest in Jailbreak resistance (#258 of 272). Above par in 20 of 27 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Inkling and O3.

§ 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.

Professional55#33/168
Legal56.5#29/151
Medical54.7#43/140
Finance55.1#44/151
Core abilities56#36/204
General intelligence58.6#36/204
Human preference61.4#67/342
Human preference61.4#67/342
Reasoning52.7#69/178
Mathematics55.2#46/140
Reasoning50.5#59/140
Science53.3#66/122
Knowledge53#71/138
Academic knowledge53.5#65/123
Coding49.6#79/165
Code generation59.3#12/77
Agentic coding46.3#94/157
Safety50.2#177/337
Safe-prompt compliance60.2#4/82
Factual grounding57.5#32/101
Fairness60.4#41/300
Toxicity avoidance53.3#146/272
Secure code47.6#181/274
Harm refusal47#209/300
Jailbreak resistance28.3#258/272
Agents42.7#213/268
Knowledge work40.6#130/178

§ 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 2.5 Pro, left for the other.

Mistral Large 3won 20 · lost 0
Grok 3won 20 · lost 1
Command R Pluswon 16 · lost 2
Mistral Medium 3.5won 15 · lost 2
Llama 4 Scout Instructwon 21 · lost 3
Command Awon 20 · lost 3
Gemini 2.0 Flashwon 20 · lost 3
DeepSeek V3won 23 · lost 4
Mistral Smallwon 17 · lost 3
Gemini 1.5 Prowon 16 · lost 3
GLM-4.5won 16 · lost 3
Grok 4 Fastwon 15 · lost 3
DeepSeek R1won 21 · lost 5
GPT-4o Miniwon 20 · lost 5
GPT-4.1 Nanowon 20 · lost 5
Gemini 2.5 Flash Litewon 15 · lost 4
Claude Haiku 4.5won 20 · lost 6
Gemini 1.5 Flashwon 13 · lost 4
GPT-5.4 Nanowon 16 · lost 5
Qwen3 235B A22B Instructwon 19 · lost 6
GLM-4.6won 18 · lost 6
GPT-4owon 17 · lost 6
Gemini 3.1 Flash Litewon 14 · lost 5
Qwen3.6 Pluswon 14 · lost 5
Mistral Largewon 13 · lost 5
GPT-4.1 Miniwon 18 · lost 7
Kimi K2won 18 · lost 7
Kimi K2 Thinkingwon 14 · lost 6
GPT-5 Nanowon 16 · lost 7
GPT OSS 120Bwon 18 · lost 8
O4 Miniwon 18 · lost 8
Gemini 2.5 Flashwon 18 · lost 8
GPT OSS 20Bwon 15 · lost 7
Claude 3.7 Sonnetwon 15 · lost 7
Grok 4.3won 17 · lost 8
O3 Miniwon 16 · lost 8
Claude 3.5 Haikuwon 13 · lost 7
DeepSeek V3.2won 16 · lost 9
Gemini 3.5 Flash Litewon 12 · lost 7
Claude 3.5 Sonnetwon 13 · lost 8
O1won 13 · lost 8
Ling 3.0 Flashwon 11 · lost 7
MiniMax M3won 15 · lost 10
Grok 4.1 Fastwon 13 · lost 9
GPT-6 Lunawon 13 · lost 9
Gemma 4 31Bwon 13 · lost 9
Qwen3.8 27Bwon 11 · lost 8
Kimi K2.6won 15 · lost 11
GPT-4.1won 14 · lost 11
DeepSeek V4 Flashwon 14 · lost 11
Qwen3.7 Maxwon 14 · lost 11
Claude Sonnet 4won 15 · lost 12
GPT-5.4 Miniwon 11 · lost 9
GPT-5 Miniwon 14 · lost 12
Mimo V2.5 Prowon 12 · lost 11
O3won 13 · lost 12
Inklingwon 13 · lost 12
Claude Opus 4won 12 · lost 13
GLM-5.2won 12 · lost 13
MiniMax M2.7won 10 · lost 11
Gemini 3.1 Prowon 10 · lost 11
Claude Sonnet 4.5won 12 · lost 14
Grok 4won 11 · lost 13
Claude Opus 4.5won 9 · lost 11
GLM-5won 8 · lost 10
DeepSeek V4.1 Flashwon 8 · lost 10
Kimi K2.5won 11 · lost 14
Gemini 3.6 Flashwon 10 · lost 15
DeepSeek V4 Prowon 10 · lost 16
GPT-5.6 Lunawon 9 · lost 16
GPT-5.1won 8 · lost 16
Claude Sonnet 4.6won 8 · lost 16
Gemini 3.5 Flashwon 8 · lost 17
Grok 4.7won 7 · lost 15
GLM-5.1won 7 · lost 15
Claude Opus 4.6won 7 · lost 15
GPT-5.2won 7 · lost 18
GPT-5.6 Terrawon 7 · lost 18
GLM-5.3 Flashwon 7 · lost 18
Gemini 3 Prowon 6 · lost 16
GPT-6 Solwon 6 · lost 17
Grok 4.5won 6 · lost 19
GPT-5won 6 · lost 20
GPT-5.4won 6 · lost 20
GPT-6 Astrawon 4 · lost 14
Muse Spark 1.2won 4 · lost 14
Claude Sonnet 5won 5 · lost 20
Qwen3.8 Maxwon 5 · lost 20
Muse Spark 1.1won 5 · lost 20
Gemini 3.8 Flashwon 5 · lost 20
GPT-5.6 Solwon 5 · lost 21
GLM-5.3won 3 · lost 16
Gemini 3.7 Flashwon 3 · lost 16
Claude Opus 5won 3 · lost 22
Claude Opus 4.7won 3 · lost 23
Mimo V2.6 Prowon 2 · lost 17
Kimi K3won 2 · lost 17
Grok 4.6won 2 · lost 23
Claude Opus 4.8won 2 · lost 23
GPT-5.5won 2 · lost 24
Claude Opus 5.5won 1 · lost 21
Claude Fable 5.1won 0 · lost 19
Claude Fable 5won 0 · lost 19

§ 3 · Sources

Where the numbers come from

12 publications, 33 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1446
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 444
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 302
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 4.9%
LiveCodeBench ↗1 measureread 2026-09-26
LiveCodeBench 73.6%
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 83.1%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 70.3%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 62.4%
Vals.ai ↗13 measuresread 2026-09-26
Vals · CaseLaw 63.88%Vals · LegalBench 84.32%Vals · CorpFin 60.8%Vals · TaxEval 72.89%Vals · MortgageTax 68.92%Vals · MedQA 93.14%Vals · MedCode 50.59%Vals · MedScribe 73.55%Vals · SWE-bench Verified 54.4% (Mini-SWE-agent)Vals · Vibe Code Bench 0.4% (OpenHands)Vals · GPQA Diamond 80.81%Vals · MMLU Pro 84.06%Vals · AIME 85.83%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 65.4%HELM Safety · SimpleSafetyTests 97%HELM Safety · Anthropic Red Team 99.5%HELM Safety · BBQ 96.4%HELM Safety · XSTest 98.7%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 31.1%Enkrypt · Harmful content risk 54.6%Enkrypt · CBRN risk 20.8%Enkrypt · Toxicity risk 4%Enkrypt · Bias risk 61.2%Enkrypt · Insecure code risk 38.5%
Vectara · Factual consistency 93%

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