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Gemini 3.5 Flash

Google

Strongest in Web research (#3 of 4), weakest in Harm refusal (#262 of 300). Above par in 21 of 29 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Opus 5 and ahead of GPT-5.6 Luna and Kimi K2.

§ 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.

Knowledge58.6#12/138
Academic knowledge60.4#10/123
Human preference64.4#24/342
Human preference64.4#24/342
Professional55.4#31/168
Finance58.6#12/151
Medical57.7#22/140
Legal50.8#73/151
Reasoning53.7#52/178
Science61.6#15/122
Reasoning57.8#30/140
Mathematics45.2#96/140
Core abilities52.1#70/204
Instruction following63.5#8/57
Language60#14/57
Data analysis35.7#51/57
General intelligence49.7#102/204
Coding50.5#71/165
Code generation51.6#40/77
Agentic coding50.2#72/157
Agents52#97/268
Web research44#3/4
Knowledge work55.2#51/178
Safety46.7#261/337
Secure code60.8#59/274
Toxicity avoidance55.1#104/272
Fairness48.3#137/300
Jailbreak resistance28.9#255/272
Harm refusal43.7#262/300

§ 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 3.5 Flash, left for the other.

Gemini 3.5 Flash Litewon 22 · lost 0
Mistral Large 3won 18 · lost 1
GPT-5.4 Miniwon 20 · lost 2
GPT-4.1 Nanowon 21 · lost 3
GPT-5.4 Nanowon 20 · lost 3
Command Awon 19 · lost 3
Qwen3.6 Pluswon 19 · lost 3
Grok 4.3won 24 · lost 4
Mistral Smallwon 16 · lost 3
Ling 3.0 Flashwon 15 · lost 3
GPT-4o Miniwon 20 · lost 4
Llama 4 Scout Instructwon 18 · lost 4
Gemini 2.0 Flashwon 18 · lost 4
GPT-4.1 Miniwon 19 · lost 5
GLM-4.6won 18 · lost 5
Gemini 1.5 Prowon 14 · lost 4
Gemini 3.1 Flash Litewon 14 · lost 4
DeepSeek V3won 19 · lost 6
Claude 3.5 Haikuwon 15 · lost 5
Grok 3won 15 · lost 5
GPT OSS 120Bwon 18 · lost 6
Kimi K2.6won 21 · lost 7
Qwen3.7 Maxwon 21 · lost 7
Kimi K2.7 Codewon 14 · lost 5
Grok Build 0.1won 14 · lost 5
GPT OSS 20Bwon 15 · lost 6
Grok 4.1 Fastwon 15 · lost 6
Claude Haiku 4.5won 17 · lost 7
DeepSeek V3.2won 17 · lost 7
Mimo V2.5 Prowon 16 · lost 7
Inklingwon 20 · lost 9
GLM-4.5won 13 · lost 6
Gemini 2.5 Prowon 17 · lost 8
GPT-4owon 14 · lost 7
Gemma 4 31Bwon 14 · lost 7
Kimi K2.5won 16 · lost 8
O3 Miniwon 15 · lost 8
Claude 3.5 Sonnetwon 13 · lost 7
DeepSeek V4 Flashwon 18 · lost 10
Qwen3.8 27Bwon 14 · lost 8
GLM-5.1won 14 · lost 8
GPT-5 Miniwon 15 · lost 9
DeepSeek R1won 15 · lost 9
Claude Sonnet 4.5won 15 · lost 9
MiniMax M3won 18 · lost 11
Claude 3.7 Sonnetwon 13 · lost 8
MiniMax M2.7won 13 · lost 8
Grok 4won 14 · lost 9
GLM-5.2won 17 · lost 11
Gemini 3.6 Flashwon 17 · lost 11
Kimi K2 Thinkingwon 12 · lost 8
Claude Opus 4.5won 13 · lost 9
GPT-5 Nanowon 12 · lost 9
Claude Opus 4won 13 · lost 10
Claude Sonnet 4won 14 · lost 11
GPT-5.1won 12 · lost 10
O4 Miniwon 13 · lost 11
Gemini 2.5 Flashwon 13 · lost 11
Claude Sonnet 4.6won 14 · lost 12
DeepSeek V4 Prowon 15 · lost 13
GPT-4.1won 12 · lost 11
Kimi K2won 12 · lost 11
GPT-5.6 Lunawon 15 · lost 14
O1won 10 · lost 10
GPT-6 Lunawon 12 · lost 13
Qwen3 235B A22B Instructwon 11 · lost 12
DeepSeek V4.1 Flashwon 10 · lost 11
GLM-5.3 Flashwon 13 · lost 15
O3won 11 · lost 13
Grok 4.5won 13 · lost 16
GPT-5.2won 12 · lost 15
GPT-5.4won 12 · lost 16
Muse Spark 1.1won 12 · lost 16
GPT-5won 10 · lost 14
GLM-5.3won 9 · lost 13
GPT-5.6 Terrawon 11 · lost 17
GPT-6 Solwon 9 · lost 16
Grok 4.6won 10 · lost 18
Gemini 3 Prowon 7 · lost 13
Claude Sonnet 5won 10 · lost 19
Qwen3.8 Maxwon 9 · lost 19
Grok 4.7won 8 · lost 17
Gemini 3.1 Prowon 7 · lost 16
Claude Opus 4.6won 6 · lost 18
Muse Spark 1.2won 5 · lost 16
Claude Opus 4.7won 6 · lost 22
Mimo V2.6 Prowon 4 · lost 15
GPT-5.6 Solwon 6 · lost 23
GPT-5.5won 5 · lost 23
Gemini 3.8 Flashwon 5 · lost 23
Claude Opus 4.8won 4 · lost 24
Kimi K3won 3 · lost 19
Claude Opus 5.5won 3 · lost 22
Muse Spark 1.3won 1 · lost 17
GPT-6 Astrawon 1 · lost 19
Gemini 3.7 Flashwon 1 · lost 21
Claude Fable 5.1won 1 · lost 21
Claude Opus 5won 1 · lost 27
Claude Fable 5won 0 · lost 23

§ 3 · Sources

Where the numbers come from

8 publications, 35 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1477
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1185
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 872
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 72.1%
LiveBench ↗8 measuresread 2026-09-26
LiveBench 74.6LiveBench · Reasoning 82LiveBench · Coding 78.2LiveBench · Agentic Coding 49LiveBench · Mathematics 88.2LiveBench · Data Analysis 64.9LiveBench · Language 84.6LiveBench · Instruction Following 75.6
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 76.7%
Vals.ai ↗16 measuresread 2026-09-26
Vals · Legal Research Bench 30.77%Vals · LegalBench 83.6%Vals · Harvey Legal Agent Benchmark 2.5%Vals · Finance Agent 57.86%Vals · CorpFin 64.69%Vals · TaxEval 74.37%Vals · MortgageTax 68.12%Vals · MedCode 55.83%Vals · MedScribe 76.57%Vals · Web Search Index 41.36% (Exa)Vals · SWE-bench Verified 78.8% (Mini-SWE-agent)Vals · Vibe Code Bench 48.68% (OpenHands)Vals · Code Migration 26.75%Vals · GPQA Diamond 92.68%Vals · MMLU Pro 89.52%Vals · ProofBench 31%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 30.6%Enkrypt · Harmful content risk 15%Enkrypt · CBRN risk 52%Enkrypt · Toxicity risk 2.7%Enkrypt · Bias risk 80.4%Enkrypt · Insecure code risk 11.6%

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