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DeepSeek V3

DeepSeek · 685B · open weights

Strongest in Code generation (#19 of 20), weakest in Agents (#295 of 298). Above par in 6 of 27 scopes. Among the models it meets almost everywhere, it finishes behind O3 and Claude Opus 4.8 and ahead of Gemma 4 31B and Gemini 2.5 Flash-Lite.

§ 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.

Core abilities49.9#99/199
General intelligence49.8#89/178
Professional49.3#107/194
Medical49.2#93/149
Legal49.6#94/173
Finance48.8#103/162
Coding46#114/179
Code generation32#19/20
Agentic coding52.7#62/173
Knowledge49.1#125/197
Academic knowledge47.8#88/123
Human preference56.2#137/354
Human preference56.2#137/354
Reasoning42.1#161/195
Science39.9#99/122
Mathematics46.3#102/152
Reasoning39.3#123/147
Safety47.2#243/329
Safe-prompt compliance56.6#23/82
Factual grounding59.8#25/104
Fairness50.7#103/292
Secure code48.4#171/270
Harm refusal45.6#229/292
Toxicity avoidance43.8#231/268
Jailbreak resistance28.7#253/268
Agents38.8#295/298
Knowledge work32.1#197/208

§ 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 DeepSeek V3, left for the other.

Command R+won 15 · lost 3
Command Awon 18 · lost 5
Mistral Medium 3.5won 13 · lost 4
Gemini 2.0 Flashwon 17 · lost 6
Gemini 1.5 Prowon 14 · lost 5
Llama 4 Scout Instructwon 17 · lost 7
Gemini 1.5 Flashwon 12 · lost 5
GPT-4o miniwon 17 · lost 8
GPT-4.1 nanowon 17 · lost 8
Llama 3.3 70B Instructwon 13 · lost 7
Magistral Small 1.2won 11 · lost 6
Claude 3.5 Haikuwon 12 · lost 8
GPT OSS 120Bwon 14 · lost 12
Gemini 2.5 Flash-Litewon 10 · lost 9
Gemma 4 31Bwon 11 · lost 10
GPT-5.4 nanowon 10 · lost 10
Claude Haiku 4.5won 11 · lost 13
Grok 4.1 Fastwon 10 · lost 12
Mistral Large 3won 9 · lost 11
Ling 3.0 Flashwon 8 · lost 10
GPT-4owon 11 · lost 14
Gemini 3.1 Flash-Litewon 8 · lost 11
GPT OSS 20Bwon 9 · lost 13
GPT-5 nanowon 9 · lost 14
Gemini 3.5 Flash-Litewon 7 · lost 11
Claude 3.5 Sonnetwon 8 · lost 13
O3 Miniwon 9 · lost 15
GLM-4.6won 9 · lost 15
GPT-5.4 miniwon 7 · lost 12
Grok 4.3won 8 · lost 14
GPT-4.1 miniwon 9 · lost 16
Kimi K2won 9 · lost 16
DeepSeek V3.2won 9 · lost 16
MiniMax M2.5won 6 · lost 12
Inkling Smallwon 6 · lost 12
MiniMax M2.7won 7 · lost 15
Grok 3won 7 · lost 17
Grok 4won 7 · lost 17
MiniMax M3won 7 · lost 17
GLM-4.7won 5 · lost 13
Claude 3.7 Sonnetwon 6 · lost 16
Kimi K2.6won 6 · lost 17
MiMo V2.5 Prowon 5 · lost 16
GPT-5 miniwon 6 · lost 20
DeepSeek R1won 6 · lost 20
GPT-6 Lunawon 5 · lost 17
Grok 4 Fastwon 4 · lost 14
Qwen3.8 27Bwon 4 · lost 14
GPT-4.1won 5 · lost 18
Qwen3.7 Maxwon 5 · lost 18
Gemini 3.5 Flashwon 5 · lost 18
DeepSeek V4 Flashwon 5 · lost 19
Inklingwon 5 · lost 19
Kimi K2.5won 5 · lost 20
Claude Sonnet 4.5won 5 · lost 21
Claude Opus 4.6won 4 · lost 17
Claude Sonnet 4won 5 · lost 22
GLM-5.1won 4 · lost 18
Claude Sonnet 4.6won 4 · lost 18
Gemini 3.6 Flashwon 4 · lost 19
GLM-5won 3 · lost 15
GLM-5.3 Flashwon 4 · lost 20
GLM-5.2won 4 · lost 20
GLM-4.5won 3 · lost 16
Claude Opus 4.5won 3 · lost 16
Gemini 3.1 Prowon 3 · lost 16
O4 Miniwon 4 · lost 22
MiMo V2.6 Flashwon 3 · lost 17
Gemini 2.5 Prowon 4 · lost 23
Grok 3 Miniwon 3 · lost 18
Mistral Large 4won 3 · lost 18
GPT-5.6 Lunawon 3 · lost 21
GPT-5.1won 3 · lost 21
Claude Opus 4won 3 · lost 22
DeepSeek V4 Prowon 3 · lost 22
GPT-6 Astrawon 2 · lost 16
Kimi K2 Thinkingwon 2 · lost 18
GPT-6 Solwon 2 · lost 20
Gemini 3 Prowon 2 · lost 20
GPT-5.2won 2 · lost 22
Gemini 3.8 Flashwon 2 · lost 22
Gemini 2.5 Flashwon 2 · lost 23
GPT-5won 2 · lost 23
GPT-5.4won 2 · lost 23
Qwen3 235B A22B Instructwon 2 · lost 24
Gemini 4 Argonwon 1 · lost 16
O1won 1 · lost 20
MiMo V2.6 Prowon 1 · lost 20
Muse Spark 1.1won 1 · lost 21
Claude Sonnet 5won 1 · lost 22
Claude Opus 5.5won 1 · lost 22
Grok 4.6won 1 · lost 23
Qwen3.8 Maxwon 1 · lost 23
GPT-5.5won 1 · lost 24
GPT-5.6 Solwon 1 · lost 24
Claude Opus 4.7won 1 · lost 24
Gemini 3.7 Flashwon 0 · lost 17
DeepSeek V4.1 Flashwon 0 · lost 18
GLM-5.3won 0 · lost 18
Kimi K3won 0 · lost 18
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 18
Grok 4.7won 0 · lost 21
Claude Opus 5won 0 · lost 23
Grok 4.5won 0 · lost 24
GPT-5.6 Terrawon 0 · lost 24
Claude Opus 4.8won 0 · lost 24
O3won 0 · lost 25

§ 3 · Sources

Where the numbers come from

11 publications, 26 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1395
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 77
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 69
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 27.2%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 55.1%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 52.3%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 27.2%
Vals.ai ↗7 measuresread 2026-11-10
Vals · LegalBench 77.73%Vals · CorpFin 54.74%Vals · TaxEval 71.1%Vals · MedQA 82%Vals · GPQA Diamond 61.62%Vals · MMLU Pro 79.47%Vals · AIME 52.2%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 49.7%HELM Safety · SimpleSafetyTests 95.3%HELM Safety · Anthropic Red Team 97.1%HELM Safety · BBQ 96.7%HELM Safety · XSTest 97.1%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 30.7%Enkrypt · Harmful content risk 47.8%Enkrypt · CBRN risk 12.7%Enkrypt · Toxicity risk 10.4%Enkrypt · Bias risk 86.8%Enkrypt · Insecure code risk 36.4%
Vectara · Factual consistency 93.9%

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