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Gemini 2.5 Flash

Google

Strongest in Safe-prompt compliance (#1 of 82), weakest in Jailbreak resistance (#243 of 272). Above par in 21 of 27 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Claude Opus 5.5 and ahead of O4 Mini and GPT-4.1.

§ 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.

Agents57.4#48/268
Tool use63.3#12/81
Coding52.9#51/165
Code generation53.1#35/77
Agentic coding52.7#51/157
Professional51.9#61/168
Legal53.4#50/151
Medical51.3#70/140
Finance52.2#75/151
Knowledge52.5#74/138
Academic knowledge53#68/123
Core abilities51.4#78/204
General intelligence52#81/204
Human preference57.9#115/342
Human preference57.9#115/342
Reasoning45.9#121/178
Science50.3#75/122
Reasoning43.3#91/140
Mathematics46.1#93/140
Safety50.7#162/337
Safe-prompt compliance60.4#1/82
Factual grounding55.5#38/101
Fairness55.7#63/300
Secure code58.9#75/274
Harm refusal48.5#181/300
Toxicity avoidance46.9#221/272
Jailbreak resistance33#243/272

§ 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 Flash, left for the other.

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

§ 3 · Sources

Where the numbers come from

11 publications, 29 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1409
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 2.5%
LiveCodeBench ↗1 measureread 2026-09-26
LiveCodeBench 61.9%
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 55.1%
BFCL ↗1 measureread 2026-09-26
BFCL v4 56.24%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 56.8%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 41.2%
Vals.ai ↗10 measuresread 2026-09-26
Vals · LegalBench 82.63%Vals · CorpFin 59.75%Vals · TaxEval 72.4%Vals · MortgageTax 61.92%Vals · MedQA 91.17%Vals · MedCode 40.33%Vals · MedScribe 78.5%Vals · GPQA Diamond 76.52%Vals · MMLU Pro 83.66%Vals · AIME 51.46%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 62.6%HELM Safety · SimpleSafetyTests 98%HELM Safety · Anthropic Red Team 98.8%HELM Safety · BBQ 97.7%HELM Safety · XSTest 98.8%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 27.1%Enkrypt · Harmful content risk 45.4%Enkrypt · CBRN risk 15.8%Enkrypt · Toxicity risk 8.5%Enkrypt · Bias risk 75.2%Enkrypt · Insecure code risk 15.4%
Vectara · Factual consistency 92.2%

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