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DeepSeek R1

DeepSeek · 685B · open weights

Strongest in Safe-prompt compliance (#1 of 82), weakest in Agents (#279 of 298). Above par in 14 of 26 scopes. Among the models it meets almost everywhere, it finishes behind GPT-6 Astra and Claude Fable 5 and ahead of Qwen3 235B A22B Instruct and Grok 4.

§ 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.

Coding57.9#19/179
Code generation60.8#4/20
Agentic coding56.5#28/173
Core abilities55.7#37/199
General intelligence58.2#34/178
Knowledge51#100/197
Academic knowledge52.4#70/123
Human preference58.7#110/354
Human preference58.7#110/354
Professional48.4#119/194
Medical53.9#56/149
Finance49.1#102/162
Legal41.7#146/173
Reasoning46.6#126/195
Mathematics52#75/152
Reasoning42#110/147
Safety45.2#278/329
Safe-prompt compliance60.4#1/82
Fairness55.2#68/292
Factual grounding46.5#73/104
Toxicity avoidance55.9#75/268
Jailbreak resistance32.8#242/268
Secure code30.1#247/270
Harm refusal41.4#276/292
Agents40.7#279/298
Knowledge work35#184/208

§ 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 R1, left for the other.

GPT-4.1 nanowon 19 · lost 5
Gemini 2.0 Flashwon 17 · lost 5
DeepSeek V3won 20 · lost 6
Gemini 1.5 Flashwon 12 · lost 4
Mistral Medium 3.5won 12 · lost 4
Grok 3won 17 · lost 6
GPT-4o miniwon 17 · lost 7
Kimi K2won 17 · lost 7
Command R+won 12 · lost 5
Gemini 1.5 Prowon 12 · lost 5
Llama 4 Scout Instructwon 16 · lost 7
O3 Miniwon 16 · lost 7
Llama 3.3 70B Instructwon 13 · lost 6
Mistral Large 3won 13 · lost 6
Command Awon 15 · lost 7
Gemini 2.5 Flash-Litewon 12 · lost 6
Grok 4 Fastwon 11 · lost 6
GPT-5.4 nanowon 12 · lost 7
GPT-4.1 miniwon 15 · lost 9
GPT OSS 20Bwon 12 · lost 8
Grok 3 Miniwon 12 · lost 8
Ling 3.0 Flashwon 10 · lost 7
GPT-4.1won 14 · lost 10
Magistral Small 1.2won 9 · lost 7
GPT-4 Turbowon 9 · lost 7
GPT OSS 120Bwon 14 · lost 11
GPT-5 nanowon 12 · lost 10
GPT-4owon 13 · lost 11
Inkling Smallwon 9 · lost 8
Claude 3.5 Haikuwon 10 · lost 9
Claude 3.7 Sonnetwon 11 · lost 10
Grok 4won 12 · lost 11
Qwen3 235B A22B Instructwon 13 · lost 12
DeepSeek V3.1won 8 · lost 8
Claude 3.5 Sonnetwon 10 · lost 10
O4 Miniwon 12 · lost 13
MiniMax M2.7won 10 · lost 11
Gemma 4 31Bwon 10 · lost 11
MiniMax M2.5won 8 · lost 9
GLM-4.7won 8 · lost 9
Gemini 2.5 Flashwon 11 · lost 13
GLM-4.5won 8 · lost 10
Gemini 3.1 Flash-Litewon 8 · lost 10
Claude Haiku 4.5won 10 · lost 13
Grok 4.1 Fastwon 9 · lost 12
Gemini 3.5 Flash-Litewon 7 · lost 10
O1won 8 · lost 12
MiMo V2.6 Flashwon 8 · lost 12
GLM-4.6won 9 · lost 14
GLM-5.2won 9 · lost 14
GPT-5.4 miniwon 7 · lost 11
Grok 4.3won 8 · lost 13
Kimi K2 Thinkingwon 7 · lost 12
GPT-5 miniwon 9 · lost 16
Qwen3.8 27Bwon 6 · lost 11
MiniMax M3won 8 · lost 15
DeepSeek V4 Flashwon 8 · lost 15
GPT-5.6 Lunawon 8 · lost 15
Qwen3.8 Maxwon 8 · lost 15
Mistral Large 4won 7 · lost 14
DeepSeek V3.2won 8 · lost 16
GPT-6 Lunawon 7 · lost 15
Kimi K2.6won 7 · lost 15
Qwen3.7 Maxwon 7 · lost 15
Claude Haiku 5.5won 5 · lost 11
Claude Sonnet 4won 8 · lost 18
GLM-5.3 Flashwon 7 · lost 16
MiMo V2.5 Prowon 6 · lost 14
Claude Opus 4.6won 6 · lost 14
Kimi K3won 5 · lost 12
GPT-5.4won 7 · lost 17
MiMo V2.6 Prowon 6 · lost 15
Gemini 3.5 Flashwon 6 · lost 16
Gemini 3.6 Flashwon 6 · lost 16
Inklingwon 6 · lost 17
Gemini 3.8 Flashwon 6 · lost 17
Muse Spark 1.2won 4 · lost 12
Claude Opus 4won 6 · lost 18
Kimi K2.5won 6 · lost 18
Claude Sonnet 4.5won 6 · lost 19
Grok 4.7won 5 · lost 16
GLM-5.1won 5 · lost 16
Muse Spark 1.1won 5 · lost 16
GPT-5.1won 5 · lost 18
Grok 4.6won 5 · lost 18
GPT-5.6 Terrawon 5 · lost 18
O3won 5 · lost 19
DeepSeek V4 Prowon 5 · lost 19
Claude Opus 4.7won 5 · lost 19
GPT-5won 5 · lost 20
Gemini 2.5 Prowon 5 · lost 21
Claude Sonnet 4.6won 4 · lost 17
Gemini 3 Prowon 4 · lost 17
Claude Sonnet 5won 4 · lost 18
GLM-5.3won 3 · lost 14
GPT-5.2won 4 · lost 19
Grok 4.5won 4 · lost 19
Claude Opus 4.5won 3 · lost 15
DeepSeek V4.1 Flashwon 3 · lost 15
Gemini 3.1 Prowon 3 · lost 15
GPT-5.6 Solwon 4 · lost 20
GPT-6 Solwon 3 · lost 19
Claude Sonnet 5.5won 2 · lost 14
Gemini 3.7 Flashwon 2 · lost 14
GPT-5.5won 3 · lost 21
GLM-5won 2 · lost 15
Claude Opus 5won 2 · lost 20
Claude Opus 4.8won 2 · lost 21
Gemini 4 Argonwon 1 · lost 16
Claude Opus 5.5won 1 · lost 22
GPT-6.1 Solwon 0 · lost 16
Claude Fable 5.1won 0 · lost 17
Claude Fable 5won 0 · lost 17
GPT-6 Astrawon 0 · lost 18

§ 3 · Sources

Where the numbers come from

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

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1421
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 302
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 129
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 1.1%
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 73.1%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 71.4%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 69.4%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 40.8%
Vals.ai ↗6 measuresread 2026-11-10
Vals · LegalBench 67.32%Vals · CorpFin 54.12%Vals · TaxEval 72.28%Vals · MedQA 90.8%Vals · MMLU Pro 83.18%Vals · AIME 73.96%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 54.6%HELM Safety · SimpleSafetyTests 98.3%HELM Safety · Anthropic Red Team 99.1%HELM Safety · BBQ 96.5%HELM Safety · XSTest 98.8%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 27.2%Enkrypt · Harmful content risk 57.8%Enkrypt · CBRN risk 53.5%Enkrypt · Toxicity risk 2.1%Enkrypt · Bias risk 74.9%Enkrypt · Insecure code risk 73.8%
Vectara · Factual consistency 88.7%

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