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Gemini 3.6 Flash

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Strongest in Science (#8 of 122), weakest in Safety (#280 of 337). Above par in 21 of 29 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 3.7 Flash and Claude Opus 5 and ahead of Claude Sonnet 4 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.

Knowledge58.4#15/138
Academic knowledge60.1#13/123
Human preference64.9#17/342
Human preference64.9#17/342
Professional53.1#50/168
Biology research30.8#16/16
Finance57.8#21/151
Medical57.5#23/140
Legal51.3#68/151
Reasoning53.3#59/178
Science62.1#8/122
Reasoning54.3#45/140
Mathematics45.9#94/140
Agents55.4#61/268
Knowledge work57#42/178
Coding50.7#70/165
Code generation51#42/77
Agentic coding50.6#68/157
Core abilities50.5#89/204
Instruction following63.2#9/57
Language58.7#15/57
Data analysis32.5#52/57
General intelligence48.1#115/204
Safety45.7#280/337
Secure code52.9#130/274
Fairness46.2#164/300
Toxicity avoidance52.4#165/272
Harm refusal45#247/300
Jailbreak resistance31.4#251/272

§ 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 3.6 Flash, left for the other.

Gemini 3.5 Flash Litewon 22 · lost 0
GPT-5.4 Miniwon 20 · lost 2
Mistral Large 3won 17 · lost 2
GPT-5.4 Nanowon 20 · lost 3
Qwen3.6 Pluswon 19 · lost 3
Grok Build 0.1won 16 · lost 3
Mistral Smallwon 16 · lost 3
Grok 4.3won 23 · lost 5
Llama 4 Scout Instructwon 18 · lost 4
Command Awon 18 · lost 4
Gemini 2.0 Flashwon 18 · lost 4
GPT-4.1 Nanowon 19 · lost 5
GPT-4.1 Miniwon 19 · lost 5
GLM-4.6won 18 · lost 5
Ling 3.0 Flashwon 14 · lost 4
Gemini 1.5 Prowon 14 · lost 4
Grok 4.1 Fastwon 16 · lost 5
DeepSeek V3won 19 · lost 6
Claude 3.5 Haikuwon 15 · lost 5
GPT-4o Miniwon 18 · lost 6
GPT OSS 120Bwon 18 · lost 6
Claude Haiku 4.5won 18 · lost 6
DeepSeek V3.2won 18 · lost 6
Inklingwon 21 · lost 7
Kimi K2.6won 21 · lost 7
Kimi K2.7 Codewon 14 · lost 5
Gemini 3.1 Flash Litewon 13 · lost 5
GPT OSS 20Bwon 15 · lost 6
Grok 3won 14 · lost 6
Mimo V2.5 Prowon 16 · lost 7
GPT-4owon 14 · lost 7
Kimi K2.5won 16 · lost 8
Claude 3.5 Sonnetwon 13 · lost 7
Qwen3.8 27Bwon 14 · lost 8
GLM-5.1won 14 · lost 8
GLM-4.5won 12 · lost 7
DeepSeek R1won 15 · lost 9
MiniMax M2.7won 13 · lost 8
O3 Miniwon 14 · lost 9
Grok 4won 14 · lost 9
MiniMax M3won 17 · lost 11
Qwen3.7 Maxwon 17 · lost 11
Gemini 2.5 Prowon 15 · lost 10
GPT-5 Miniwon 14 · lost 10
Claude 3.7 Sonnetwon 12 · lost 9
Gemma 4 31Bwon 12 · lost 9
GLM-5.2won 16 · lost 12
Claude Opus 4won 13 · lost 10
Claude Sonnet 4.5won 13 · lost 11
Claude Sonnet 4.6won 14 · lost 12
GPT-5 Nanowon 11 · lost 10
GPT-4.1won 12 · lost 11
Kimi K2won 12 · lost 11
Claude Sonnet 4won 13 · lost 12
GPT-5.1won 11 · lost 11
Claude Opus 4.5won 11 · lost 11
O4 Miniwon 12 · lost 12
DeepSeek V4 Prowon 14 · lost 14
DeepSeek V4 Flashwon 14 · lost 15
GPT-5.6 Lunawon 14 · lost 15
Grok 4.5won 13 · lost 15
GPT-6 Lunawon 12 · lost 14
Gemini 2.5 Flashwon 11 · lost 13
O3won 11 · lost 13
GLM-5.3won 10 · lost 12
Kimi K2 Thinkingwon 9 · lost 11
O1won 9 · lost 11
Qwen3 235B A22B Instructwon 10 · lost 13
GLM-5.3 Flashwon 12 · lost 16
DeepSeek V4.1 Flashwon 9 · lost 13
GPT-5.2won 11 · lost 16
GPT-5.4won 11 · lost 17
Gemini 3.5 Flashwon 11 · lost 17
GPT-5won 9 · lost 15
Qwen3.8 Maxwon 10 · lost 18
Claude Sonnet 5won 9 · lost 19
GPT-5.6 Terrawon 9 · lost 19
Grok 4.7won 8 · lost 18
GPT-6 Solwon 8 · lost 18
Gemini 3.1 Prowon 7 · lost 16
Gemini 3 Prowon 6 · lost 14
Muse Spark 1.1won 8 · lost 20
Mimo V2.6 Prowon 5 · lost 14
Claude Opus 4.6won 6 · lost 18
GPT-5.5won 7 · lost 21
Grok 4.6won 7 · lost 22
Muse Spark 1.2won 5 · lost 17
GPT-5.6 Solwon 6 · lost 23
Claude Opus 4.8won 5 · lost 23
Kimi K3won 4 · lost 19
GPT-6 Astrawon 3 · lost 18
Claude Opus 4.7won 3 · lost 25
Gemini 3.8 Flashwon 3 · lost 26
Claude Fable 5.1won 2 · lost 20
Muse Spark 1.3won 1 · lost 17
Claude Fable 5won 1 · lost 21
Claude Opus 5.5won 1 · lost 25
Claude Opus 5won 1 · lost 28
Gemini 3.7 Flashwon 0 · lost 22

§ 3 · Sources

Where the numbers come from

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

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1482
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1265
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 950
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 60.4%
LiveBench ↗8 measuresread 2026-09-26
LiveBench 73.6LiveBench · Reasoning 85.1LiveBench · Coding 77.9LiveBench · Agentic Coding 43.4LiveBench · Mathematics 86.4LiveBench · Data Analysis 63LiveBench · Language 83.9LiveBench · Instruction Following 75.4
Vals.ai ↗15 measuresread 2026-09-26
Vals · Legal Research Bench 25%Vals · LegalBench 86.7%Vals · Harvey Legal Agent Benchmark 3.33%Vals · Finance Agent 56.3%Vals · CorpFin 63.33%Vals · TaxEval 74.86%Vals · MortgageTax 67.61%Vals · MedCode 53.15%Vals · MedScribe 79.66%Vals · BioMysteryBench 58.52%Vals · SWE-bench Verified 79.6% (Mini-SWE-agent)Vals · Vibe Code Bench 64% (OpenHands)Vals · Code Migration 30.93%Vals · GPQA Diamond 93.43%Vals · MMLU Pro 89.28%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 28.5%Enkrypt · Harmful content risk 8.9%Enkrypt · CBRN risk 52.8%Enkrypt · Toxicity risk 4.6%Enkrypt · Bias risk 83.7%Enkrypt · Insecure code risk 27.6%

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