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Gemini 2.5 Flash

Google

Strongest in Safe-prompt compliance (#1 of 82), weakest in Jailbreak resistance (#239 of 268). Above par in 21 of 27 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Grok 4.7 and ahead of Qwen3 235B A22B Instruct and O4 Mini.

§ 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.

Agents55.6#52/298
Tool use63.3#12/81
Coding53#59/179
Code generation53.8#12/20
Agentic coding52.7#62/173
Professional52.3#67/194
Legal53.3#62/173
Medical52.5#69/149
Finance52.2#84/162
Core abilities51.4#84/199
General intelligence52#71/178
Knowledge51.3#98/197
Academic knowledge53#68/123
Human preference57.5#125/354
Human preference57.5#125/354
Reasoning45.4#139/195
Science50.3#75/122
Mathematics46.1#103/152
Reasoning42.3#107/147
Safety50.7#160/329
Safe-prompt compliance60.4#1/82
Factual grounding55.4#39/104
Fairness55.7#62/292
Secure code58.7#76/270
Harm refusal48.5#177/292
Toxicity avoidance46.6#219/268
Jailbreak resistance33#239/268

§ 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 23 · lost 2
Mistral Large 3won 17 · lost 2
Command R+won 16 · lost 2
Command Awon 21 · 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
Llama 3.3 70B Instructwon 16 · lost 4
Gemini 2.5 Flash-Litewon 16 · lost 4
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
GPT-4owon 18 · lost 6
Claude 3.5 Haikuwon 14 · lost 5
GPT-5.4 nanowon 13 · lost 6
MiniMax M2.5won 12 · lost 6
Claude 3.5 Sonnetwon 14 · lost 7
Grok 3won 16 · lost 8
Inkling Smallwon 11 · lost 6
GLM-4.7won 11 · lost 6
GPT OSS 120Bwon 16 · lost 9
GLM-4.6won 15 · lost 9
Grok 4.3won 13 · lost 8
Grok 4 Fastwon 11 · lost 7
Gemma 4 31Bwon 12 · lost 8
MiMo V2.5 Prowon 12 · lost 8
Gemini 3.5 Flash-Litewon 10 · lost 7
Kimi K2won 15 · lost 11
Kimi K2.6won 12 · lost 9
O3 Miniwon 13 · lost 10
Grok 4.1 Fastwon 13 · lost 10
Claude 3.7 Sonnetwon 12 · lost 10
GPT-5 nanowon 13 · lost 11
Claude Haiku 4.5won 13 · lost 11
DeepSeek R1won 13 · lost 11
GPT-4.1won 14 · lost 12
O4 Miniwon 14 · lost 13
Qwen3 235B A22B Instructwon 14 · lost 13
Gemini 3.1 Flash-Litewon 9 · lost 9
GPT-5.4 miniwon 9 · lost 9
Mistral Large 4won 10 · lost 10
DeepSeek V3.2won 12 · lost 13
MiniMax M3won 11 · lost 12
MiniMax M2.7won 10 · lost 11
GLM-4.5won 9 · lost 10
MiMo V2.6 Flashwon 9 · lost 10
Claude Sonnet 4won 12 · lost 14
Qwen3.7 Maxwon 10 · lost 12
Gemini 3.6 Flashwon 10 · lost 12
Grok 4won 11 · lost 14
GLM-5.3 Flashwon 10 · lost 13
Qwen3.8 27Bwon 7 · lost 10
Gemini 3.5 Flashwon 9 · lost 13
DeepSeek V4 Flashwon 9 · lost 14
GPT-5 miniwon 10 · lost 16
O1won 8 · lost 13
GPT-6 Lunawon 8 · lost 13
Kimi K2.5won 9 · lost 15
DeepSeek V4 Prowon 9 · lost 15
Inklingwon 8 · lost 15
GLM-5won 6 · lost 12
Grok 3 Miniwon 7 · lost 14
GLM-5.1won 7 · lost 14
Gemini 2.5 Prowon 8 · lost 18
GLM-5.2won 7 · lost 16
Kimi K2 Thinkingwon 6 · lost 14
Claude Sonnet 4.6won 6 · lost 15
Claude Opus 4.6won 6 · lost 15
Claude Opus 4won 7 · lost 18
Gemini 3.1 Prowon 5 · lost 13
Gemini 3.8 Flashwon 6 · lost 17
MiMo V2.6 Prowon 5 · lost 15
GPT-6 Solwon 5 · lost 16
GPT-5.1won 5 · lost 18
Gemini 3 Prowon 5 · lost 18
Claude Opus 4.5won 4 · lost 16
GPT-5won 5 · lost 20
GPT-5.2won 5 · lost 20
Claude Sonnet 4.5won 5 · lost 21
Qwen3.8 Maxwon 4 · lost 19
GPT-5.4won 4 · lost 20
GPT-5.6 Lunawon 3 · lost 20
GPT-5.6 Solwon 3 · lost 21
Claude Opus 4.7won 3 · lost 21
GPT-6 Astrawon 2 · lost 15
O3won 3 · lost 23
Muse Spark 1.1won 2 · lost 19
Claude Sonnet 5won 2 · lost 20
Grok 4.6won 2 · lost 21
GPT-5.6 Terrawon 2 · lost 21
GPT-5.5won 2 · lost 22
DeepSeek V4.1 Flashwon 1 · lost 16
Kimi K3won 1 · lost 16
Claude Opus 5.5won 1 · lost 21
Grok 4.5won 1 · lost 22
Claude Opus 4.8won 1 · lost 22
GLM-5.3won 0 · lost 17
Claude Fable 5.1won 0 · lost 17
Claude Fable 5won 0 · lost 17
Grok 4.7won 0 · lost 20
Claude Opus 5won 0 · lost 22

§ 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 2026-11-10
LMArena Text 1409
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 2.5%
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 61.9%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 55.1%
BFCL ↗1 measureread 2026-11-10
BFCL v4 56.24%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 56.8%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 41.2%
Vals.ai ↗10 measuresread 2026-11-10
Vals · LegalBench 82.63%Vals · CorpFin 59.75%Vals · TaxEval 72.4%Vals · MortgageTax 61.92%Vals · MedQA 91.17%Vals · MedCode 40.36%Vals · MedScribe 82.98%Vals · GPQA Diamond 76.52%Vals · MMLU Pro 83.66%Vals · AIME 51.46%
HELM Safety ↗5 measuresread 2026-11-10
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 2026-11-10
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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