Request a Pilot
‹ PublicAI Index

The LLM benchmark aggregator.

DeepSeek V4 Pro

DeepSeek · 1.7T · open weights

Strongest in Cybersecurity (#14 of 47), weakest in Toxicity avoidance (#211 of 268). Above par in 24 of 33 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of GPT-5 and GPT-5 mini.

§ 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.

Coding58.5#17/179
Agentic coding58.9#15/173
Code generation47.4—/20✱
Repository Q&A50.5—/0✱
Agents56.3#43/298
Knowledge work60.1#46/208
Workflow automation42.9—/0✱
Human preference62.8#50/354
Human preference62.8#50/354
Reasoning54.5#54/195
Science61.4#17/122
Reasoning51.9#57/147
Mathematics53.5#67/152
Expert reasoning44.8—/0✱
Knowledge53#63/197
Academic knowledge57.2#35/123
Professional52.3#69/194
Cybersecurity57.1#14/47
IT operations40.5#26/33
Finance55.1#45/162
Legal53.1#67/173
Medical50.8#79/149
Core abilities50.7#92/199
Language55.3#24/62
Instruction following49.5#33/62
General intelligence49.2#97/178
Safety50.4#166/329
Factual grounding53.4#43/104
Jailbreak resistance54.4#122/268
Harm refusal51.4#130/292
Secure code49.7#156/270
Fairness45.2#187/292
Toxicity avoidance48.1#211/268

§ 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 DeepSeek V4 Pro, left for the other.

Mistral Large 3won 20 · lost 0
Gemini 3.5 Flash-Litewon 21 · lost 0
DeepSeek V4 Flashwon 24 · lost 2
Grok 4.3won 22 · lost 2
Command Awon 21 · lost 2
GPT-5.4 miniwon 19 · lost 2
DeepSeek V3won 22 · lost 3
GPT-5.4 nanowon 19 · lost 3
Llama 3.3 70B Instructwon 17 · lost 3
Llama 4 Scout Instructwon 19 · lost 4
Qwen3.8 27Bwon 17 · lost 4
Gemma 4 31Bwon 17 · lost 4
Kimi K2.6won 20 · lost 5
GPT-4.1 nanowon 19 · lost 5
GPT-4.1 miniwon 19 · lost 5
DeepSeek R1won 19 · lost 5
GLM-4.6won 19 · lost 5
Mistral Large 4won 18 · lost 5
Gemini 2.0 Flashwon 17 · lost 5
Grok 4.1 Fastwon 17 · lost 5
GPT OSS 20Bwon 16 · lost 5
MiMo V2.5 Prowon 16 · lost 5
GPT OSS 120Bwon 19 · lost 6
Kimi K2.5won 19 · lost 6
Claude 3.5 Haikuwon 15 · lost 5
Kimi K2won 18 · lost 6
GPT-4o miniwon 17 · lost 6
Grok 3won 17 · lost 6
Claude Haiku 4.5won 17 · lost 6
DeepSeek V3.2won 18 · lost 7
MiniMax M3won 19 · lost 8
GPT-6 Lunawon 18 · lost 8
GLM-5.2won 18 · lost 8
Claude Sonnet 4won 17 · lost 8
Inklingwon 18 · lost 9
GPT-4owon 15 · lost 8
Gemini 2.5 Prowon 16 · lost 9
O3 Miniwon 14 · lost 8
MiniMax M2.7won 14 · lost 8
MiMo V2.6 Flashwon 14 · lost 8
Gemini 2.5 Flashwon 15 · lost 9
Qwen3 235B A22B Instructwon 15 · lost 9
Claude 3.7 Sonnetwon 13 · lost 8
Grok 4won 14 · lost 9
GLM-5.3 Flashwon 17 · lost 11
O1won 12 · lost 8
Claude Haiku 5.5won 12 · lost 8
Qwen3.7 Maxwon 15 · lost 10
GPT-5 nanowon 13 · lost 9
GLM-5.1won 13 · lost 9
O4 Miniwon 14 · lost 10
GPT-5.1won 13 · lost 10
GPT-5.6 Lunawon 15 · lost 13
Claude Opus 4won 12 · lost 11
GPT-5 miniwon 13 · lost 12
GPT-5won 13 · lost 12
Kimi K2 Thinkingwon 10 · lost 10
GPT-4.1won 12 · lost 12
Claude Sonnet 4.5won 12 · lost 13
GPT-5.2won 12 · lost 14
Gemini 3.6 Flashwon 12 · lost 14
O3won 10 · lost 13
Claude Sonnet 4.6won 10 · lost 14
Claude Sonnet 5won 11 · lost 16
Grok 4.7won 10 · lost 15
Gemini 3.5 Flashwon 10 · lost 15
Gemini 3.1 Prowon 8 · lost 13
Muse Spark 1.1won 9 · lost 15
GLM-5.3won 8 · lost 14
Grok 4.5won 10 · lost 18
Gemini 3.8 Flashwon 10 · lost 18
GPT-6 Solwon 9 · lost 17
Claude Opus 4.5won 7 · lost 14
MiMo V2.6 Prowon 7 · lost 15
Claude Opus 4.6won 7 · lost 16
Grok 4.6won 8 · lost 19
Claude Opus 4.7won 8 · lost 19
Gemini 3 Prowon 6 · lost 15
Gemini 3.7 Flashwon 6 · lost 15
GPT-5.6 Terrawon 8 · lost 20
GPT-5.4won 7 · lost 20
Qwen3.8 Maxwon 7 · lost 20
GPT-5.5won 7 · lost 21
GPT-6 Astrawon 4 · lost 18
Claude Sonnet 5.5won 3 · lost 17
GPT-6.1 Solwon 3 · lost 17
Kimi K3won 3 · lost 18
DeepSeek V4.1 Flashwon 3 · lost 19
Claude Opus 4.8won 3 · lost 23
Claude Opus 5won 3 · lost 24
Claude Opus 5.5won 3 · lost 24
GPT-5.6 Solwon 3 · lost 26
Claude Fable 5.1won 1 · lost 21
Claude Fable 5won 0 · lost 20

§ 3 · Sources

Where the numbers come from

12 publications, 53 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1464
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 23
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1457
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1253
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 61.3%
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 77.4LiveBench 1.0 · Reasoning 85.8LiveBench 1.0 · Coding 77.2LiveBench 1.0 · Agentic Coding 54.9LiveBench 1.0 · Mathematics 95.1LiveBench 1.0 · Data Analysis 79.2LiveBench 1.0 · Language 82.1LiveBench 1.0 · Instruction Following 67.7
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 53.5%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 50.9%
Vals.ai ↗16 measuresread 2026-11-10
Vals · Legal Research Bench 40.87%Vals · LegalBench 82.36%Vals · Harvey Legal Agent Benchmark 10.83%Vals · Finance Agent 50.39%Vals · CorpFin 65.42%Vals · TaxEval 73.06%Vals · MedCode 42.47%Vals · MedScribe 80.17%Vals · CyberBench 72.86%Vals · SRE Bench 1.91%Vals · SWE-bench Verified 96.4% (Mini-SWE-agent)Vals · Vibe Code Bench 82.3% (OpenHands)Vals · Code Migration 41.54%Vals · GPQA Diamond 92.42%Vals · MMLU Pro 86.97%Vals · ProofBench 50%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 9.1%Enkrypt · Harmful content risk 22.2%Enkrypt · CBRN risk 17.3%Enkrypt · Toxicity risk 7.5%Enkrypt · Bias risk 85.3%Enkrypt · Insecure code risk 33.8%
Vectara · Factual consistency 91.4%
GPQA Diamond (Pass@1) 92.4%Codeforces (Rating) 3348MathArena Apex (Pass@1) 65.3%Terminal-Bench 2.1 (Pass@1) 87.9%Terminal-Bench 3.0 (Pass@1) 11.8%Terminal-Bench 4.0 (Pass@1) 12.4%DeepSWE v1.1 (Resolved) 62.7%ProgramBench (Almost@1) 15.5%NL2Repo-Bench (Score) 61.5%CyberGym (Pass@1) 83.3%SEC-Bench Pro (Pass@1) 56.4%ExploitGym (Pass@1) 5.4%HLE w/ tools (Pass@1) 60%AutomationBench (Pass@1) 43.2%Agent's Last Exam (Pass@1) 25.7%

Badge

PublicAI Index badge for DeepSeek V4 Pro[![PublicAI Index](https://publicai.io/model-index/badge?model=deepseek-v4-pro)](https://publicai.io/model-index/m/deepseek-v4-pro)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-10 · the full index · JSON API