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Gemini 3.6 Flash

Google

Strongest in Science (#8 of 122), weakest in Safety (#273 of 329). Above par in 19 of 28 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Argon and Gemini 3.7 Flash and ahead of Kimi K2 Thinking and DeepSeek V4 Pro.

§ 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.

Human preference64.6#21/354
Human preference64.6#21/354
Core abilities57.5#25/199
Instruction following63.1#9/62
Language57.7#15/62
Knowledge57.2#25/197
Academic knowledge60.1#13/123
Document parsing57#26/83
Reasoning53.2#63/195
Science62.1#8/122
Reasoning54.1#48/147
Mathematics46.3#101/152
Agents53#79/298
Knowledge work54.9#63/208
Professional51.5#80/194
Finance57.4#25/162
Medical56.9#29/149
Biology research33.7#30/31
Cybersecurity32.1#41/47
Legal52#77/173
Coding49.8#89/179
Agentic coding49.8#87/173
Safety45.6#273/329
Secure code52.7#130/270
Fairness46.2#160/292
Toxicity avoidance52.3#165/268
Harm refusal44.9#241/292
Jailbreak resistance31.3#248/268

§ 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 3.6 Flash, left for the other.

Gemini 3.5 Flash-Litewon 20 · lost 1
GPT-5.4 miniwon 18 · lost 1
Inkling Smallwon 17 · lost 1
Qwen3.6 Pluswon 17 · lost 1
GPT-5.4 nanowon 19 · lost 2
Mistral Large 3won 16 · lost 2
GLM-4.7won 15 · lost 2
Gemini 3.1 Flash-Litewon 15 · lost 3
DeepSeek V3won 19 · lost 4
Magistral Small 1.2won 14 · lost 3
Llama 4 Scout Instructwon 17 · lost 4
Command Awon 17 · lost 4
Gemini 2.0 Flashwon 17 · lost 4
Grok 4.3won 19 · lost 5
Llama 3.3 70B Instructwon 15 · lost 4
GPT-4.1 nanowon 18 · lost 5
GPT-4.1 miniwon 18 · lost 5
Ling 3.0 Flashwon 14 · lost 4
Gemini 1.5 Prowon 13 · lost 4
GLM-4.6won 16 · lost 5
Grok 4.1 Fastwon 16 · lost 5
Qwen3.8 27Bwon 16 · lost 5
Claude 3.5 Haikuwon 15 · lost 5
Gemma 4 31Bwon 15 · lost 5
Kimi K2.6won 18 · lost 6
GPT OSS 120Bwon 17 · lost 6
DeepSeek V3.2won 17 · lost 6
GPT-4o miniwon 16 · lost 6
DeepSeek R1won 16 · lost 6
GLM-4.5won 13 · lost 5
Grok 3won 15 · lost 6
MiMo V2.5 Prowon 15 · lost 6
GPT OSS 20Bwon 14 · lost 6
Claude Haiku 4.5won 16 · lost 7
Gemini 2.5 Prowon 16 · lost 7
Inklingwon 18 · lost 8
Claude 3.5 Sonnetwon 13 · lost 6
GPT-4owon 15 · lost 7
Kimi K2.5won 15 · lost 7
Grok 4won 14 · lost 7
GPT-5 miniwon 16 · lost 8
GLM-5.1won 14 · lost 8
Claude Opus 4.5won 12 · lost 7
O3 Miniwon 13 · lost 8
MiniMax M2.7won 13 · lost 8
Claude Sonnet 4.5won 14 · lost 9
GPT-5 nanowon 12 · lost 8
Qwen3.7 Maxwon 15 · lost 10
GLM-5.2won 15 · lost 10
DeepSeek V4 Flashwon 16 · lost 11
O4 Miniwon 13 · lost 9
MiniMax M3won 15 · lost 11
GPT-6 Lunawon 15 · lost 11
Claude 3.7 Sonnetwon 12 · lost 9
Claude Opus 4won 12 · lost 9
Claude Sonnet 4won 13 · lost 10
Claude Sonnet 4.6won 13 · lost 10
Grok 3 Miniwon 10 · lost 8
GLM-5.3won 11 · lost 9
Gemini 2.5 Flashwon 12 · lost 10
GPT-4.1won 12 · lost 10
Kimi K2won 12 · lost 10
O3won 12 · lost 10
GPT-5.1won 12 · lost 10
DeepSeek V4 Prowon 14 · lost 12
Kimi K2 Thinkingwon 10 · lost 9
Claude Haiku 5.5won 10 · lost 10
Qwen3 235B A22B Instructwon 11 · lost 11
Mistral Large 4won 11 · lost 12
GPT-5won 11 · lost 12
GPT-5.6 Lunawon 13 · lost 15
GPT-5.4won 12 · lost 14
O1won 9 · lost 11
GLM-5.3 Flashwon 12 · lost 15
MiMo V2.6 Flashwon 9 · lost 12
DeepSeek V4.1 Flashwon 9 · lost 12
Grok 4.5won 11 · lost 15
Claude Sonnet 5won 11 · lost 16
GPT-5.6 Terrawon 11 · lost 16
GPT-6 Solwon 10 · lost 16
Gemini 3.5 Flashwon 10 · lost 16
MiMo V2.6 Prowon 8 · lost 13
GPT-5.2won 9 · lost 15
Gemini 3 Prowon 7 · lost 12
Claude Opus 4.6won 8 · lost 14
GPT-6.1 Solwon 7 · lost 13
Qwen3.8 Maxwon 9 · lost 17
Grok 4.7won 8 · lost 16
Muse Spark 1.1won 8 · lost 16
Gemini 3.1 Prowon 7 · lost 15
GPT-5.5won 8 · lost 18
Claude Sonnet 5.5won 6 · lost 14
Muse Spark 1.2won 6 · lost 14
Grok 4.6won 8 · lost 19
Claude Opus 4.8won 7 · lost 19
GPT-6 Astrawon 5 · lost 16
Kimi K3won 5 · lost 16
Claude Opus 4.7won 6 · lost 20
GPT-5.6 Solwon 5 · lost 23
Gemini 3.8 Flashwon 5 · lost 23
Muse Wonderwon 3 · lost 14
Claude Opus 5won 3 · lost 24
Claude Fable 5.1won 2 · lost 19
Claude Opus 5.5won 2 · lost 24
Claude Fable 5won 1 · lost 19
Gemini 3.7 Flashwon 1 · lost 20
Gemini 4 Argonwon 0 · lost 17

§ 3 · Sources

Where the numbers come from

8 publications, 39 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1483
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1295
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 956
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 60.4%
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 73.6LiveBench 1.0 · Reasoning 85.1LiveBench 1.0 · Coding 77.9LiveBench 1.0 · Agentic Coding 43.4LiveBench 1.0 · Mathematics 86.4LiveBench 1.0 · Data Analysis 63LiveBench 1.0 · Language 83.9LiveBench 1.0 · Instruction Following 75.4
Vals.ai ↗15 measuresread 2026-11-10
Vals · Legal Research Bench 25%Vals · LegalBench 86.7%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 · CyberBench 45.36%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%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 69.12%ParseBench · Tables 89.33%ParseBench · Charts 34.53%ParseBench · Content faithfulness 87.93%ParseBench · Semantic formatting 73.14%ParseBench · Visual grounding 60.65%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
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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