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Gemini 3.8 Flash

Google

Strongest in Instruction following (#1 of 62), weakest in Jailbreak resistance (#195 of 268). Above par in 25 of 35 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Gemini 4 Argon and ahead of Grok 4.5 and Muse Spark 1.1.

§ 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.

Human preference66#9/354
Human preference66#9/354
Knowledge58.7#15/197
Academic knowledge61.2#5/123
Document parsing58.5#15/83
Reasoning58.1#20/195
Science62.8#4/122
Reasoning62.9#10/147
Mathematics50.2#86/152
Core abilities51.8#75/199
Instruction following73.8#1/62
Language62.8#6/62
Data analysis26#29/31
General intelligence48.2#107/178
Coding51.8#75/179
Agentic coding51.9#71/173
Professional51.4#81/194
Finance58.1#14/162
IT operations47.5#14/33
Document design44.8#25/31
Biology research39.2#26/31
Medical56.2#32/149
Cybersecurity30.4#42/47
Legal55#47/173
Agents50.5#120/298
Web research50.7#21/35
Long-horizon work38.6#25/31
Computer use45.4#46/68
Knowledge work59.3#51/208
Safety52.3#121/329
Secure code62.8#33/270
Fairness56.5#54/292
Toxicity avoidance53.9#129/268
Harm refusal48.1#184/292
Jailbreak resistance46.8#195/268

§ 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 3.8 Flash, left for the other.

Gemma 4 31Bwon 25 · lost 1
Gemini 3.5 Flash-Litewon 21 · lost 1
DeepSeek V3won 22 · lost 2
Grok 4.3won 22 · lost 2
GLM-4.6won 21 · lost 2
Command Awon 20 · lost 2
Gemini 2.0 Flashwon 20 · lost 2
GPT-5.4 nanowon 20 · lost 2
Grok 4.1 Fastwon 19 · lost 2
MiMo V2.5 Prowon 19 · lost 2
Kimi K2.6won 22 · lost 3
Qwen3.7 Maxwon 22 · lost 3
GPT-4.1 nanowon 21 · lost 3
GPT-4.1 miniwon 21 · lost 3
DeepSeek V3.2won 21 · lost 3
Llama 4 Scout Instructwon 19 · lost 3
GPT OSS 20Bwon 18 · lost 3
GPT-4o miniwon 19 · lost 4
Gemini 3.6 Flashwon 23 · lost 5
GPT-4owon 18 · lost 4
GPT OSS 120Bwon 19 · lost 5
MiniMax M3won 22 · lost 6
Grok 4won 18 · lost 5
Qwen3.8 27Bwon 21 · lost 6
Grok 3won 17 · lost 5
GLM-5.1won 17 · lost 5
Gemini 2.5 Prowon 18 · lost 6
Claude Sonnet 4.6won 18 · lost 6
DeepSeek V4 Flashwon 21 · lost 7
Inklingwon 24 · lost 8
Gemini 3.5 Flashwon 20 · lost 7
Gemini 2.5 Flashwon 17 · lost 6
Kimi K2won 17 · lost 6
DeepSeek R1won 17 · lost 6
GLM-5.2won 19 · lost 7
O3 Miniwon 16 · lost 6
Gemini 3.1 Prowon 16 · lost 6
Kimi K2.5won 18 · lost 7
Claude Haiku 4.5won 16 · lost 7
MiniMax M2.7won 14 · lost 7
Step 5won 14 · lost 7
GPT-5.6 Lunawon 20 · lost 10
Mistral Large 4won 19 · lost 10
Qwen3 235B A22B Instructwon 15 · lost 8
GLM-5.3 Flashwon 22 · lost 12
DeepSeek V4 Prowon 18 · lost 10
Claude 3.7 Sonnetwon 14 · lost 8
Gemini 3.7 Flashwon 13 · lost 8
O4 Miniwon 14 · lost 9
GPT-4.1won 14 · lost 9
GPT-5 miniwon 15 · lost 10
MiMo V2.6 Flashwon 13 · lost 9
GPT-5.1won 13 · lost 9
GLM-5.3won 13 · lost 9
O3won 13 · lost 10
Claude Opus 4.6won 13 · lost 10
Claude Sonnet 4won 14 · lost 11
Claude Sonnet 4.5won 14 · lost 11
Claude Opus 4won 12 · lost 10
GPT-6 Lunawon 18 · lost 15
GPT-5 nanowon 11 · lost 10
GPT-5.2won 13 · lost 12
Muse Spark 1.1won 13 · lost 12
Grok 4.5won 15 · lost 14
Claude Sonnet 5won 14 · lost 14
Claude Haiku 5.5won 13 · lost 14
GPT-6 Solwon 13 · lost 14
GPT-5.4won 13 · lost 14
Qwen3.8 Maxwon 15 · lost 17
GPT-5won 11 · lost 13
Claude Opus 4.7won 12 · lost 15
GPT-5.6 Terrawon 15 · lost 19
DeepSeek V4.1 Flashwon 12 · lost 16
GPT-5.5won 12 · lost 16
MiMo V2.6 Prowon 11 · lost 17
Muse Spark 1.3won 9 · lost 14
Claude Opus 4.8won 10 · lost 17
Claude Sonnet 5.5won 9 · lost 18
Kimi K3won 9 · lost 18
GPT-5.6 Solwon 10 · lost 20
GPT-6 Astrawon 9 · lost 19
Grok 4.6won 10 · lost 23
GPT-6.1 Solwon 8 · lost 19
Grok 4.7won 9 · lost 22
Claude Fable 5won 5 · lost 18
Muse Wonderwon 4 · lost 19
Claude Opus 5won 5 · lost 24
Claude Opus 5.5won 4 · lost 29
Gemini 4 Argonwon 2 · lost 22
Claude Fable 5.1won 2 · lost 26

§ 3 · Sources

Where the numbers come from

12 publications, 52 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1497
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 31
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1445
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1203
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 18.2% (mini-SWE-agent)
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 89.2%
LiveBench ↗8 measuresread 2026-11-10
LiveBench 56LiveBench · Agentic 16.5LiveBench · Reasoning 89.3LiveBench · Coding 65.7LiveBench · Browser Use 45.1LiveBench · Data Analysis 54LiveBench · Research 79.4LiveBench · Design 69.7
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 75.8LiveBench 1.0 · Reasoning 89.3LiveBench 1.0 · Coding 72.5LiveBench 1.0 · Agentic Coding 54.2LiveBench 1.0 · Mathematics 91.6LiveBench 1.0 · Data Analysis 54LiveBench 1.0 · Language 87.8LiveBench 1.0 · Instruction Following 81.4
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 82.4%
Vals.ai ↗17 measuresread 2026-11-10
Vals · Legal Research Bench 38.94%Vals · LegalBench 86.99%Vals · Harvey Legal Agent Benchmark 12.08%Vals · Finance Agent 61.44%Vals · TaxEval 74.45%Vals · MortgageTax 65.34%Vals · MedCode 48.13%Vals · MedScribe 84.5%Vals · BioMysteryBench 62.22%Vals · CyberBench 43.75%Vals · SRE Bench 11.07%Vals · SWE-bench Verified 80% (Mini-SWE-agent)Vals · Vibe Code Bench 78.65% (OpenHands)Vals · Code Migration 36.55%Vals · GPQA Diamond 94.44%Vals · MMLU Pro 90.22%Vals · ProofBench 48%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 71.2%ParseBench · Tables 89.15%ParseBench · Charts 32.58%ParseBench · Content faithfulness 89.31%ParseBench · Semantic formatting 75.91%ParseBench · Visual grounding 69.03%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 15.5%Enkrypt · Harmful content risk 3.9%Enkrypt · CBRN risk 36.2%Enkrypt · Toxicity risk 3.5%Enkrypt · Bias risk 67.7%Enkrypt · Insecure code risk 7.1%

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