Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.6 vs DeepSeek V4 Pro 0813
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4 Pro 0813 wins on 8/15 benchmarks
DeepSeek V4 Pro 0813 wins 8 of 15 shared benchmarks. Leads in agentic · knowledge · general.
Category leads
agentic·DeepSeek V4 Pro 0813reasoning·Claude Opus 4.6knowledge·DeepSeek V4 Pro 0813general·DeepSeek V4 Pro 0813coding·DeepSeek V4 Pro 0813math·Claude Opus 4.6
Hype vs Reality
Attention vs performance
Claude Opus 4.6
#136 by perf·#9 by attention
DeepSeek V4 Pro 0813
#47 by perf·#6 by attention
Best value
DeepSeek V4 Pro 0813
6.7x better value than Claude Opus 4.6
Claude Opus 4.6
3.2 pts/$
$15.00/M
DeepSeek V4 Pro 0813
21.6 pts/$
$2.77/M
Vendor risk
Mixed exposure
One or more vendors flagged
Anthropic
$965.0B·Tier 1
DeepSeek
$3.4B·Tier 1
Head to head
15 benchmarks · 2 models
Claude Opus 4.6DeepSeek V4 Pro 0813
APEX-Agents
DeepSeek V4 Pro 0813 leads by +1.0
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Opus 4.6
46.3
DeepSeek V4 Pro 0813
47.3
ARC-AGI
Claude Opus 4.6 leads by +3.5
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Opus 4.6
94.0
DeepSeek V4 Pro 0813
90.5
ARC-AGI-2
Claude Opus 4.6 leads by +7.9
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Opus 4.6
69.2
DeepSeek V4 Pro 0813
61.3
Chess Puzzles
DeepSeek V4 Pro 0813 leads by +31.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Opus 4.6
12.7
DeepSeek V4 Pro 0813
44.2
Dtbench
DeepSeek V4 Pro 0813 leads by +4.5
Claude Opus 4.6
85.3
DeepSeek V4 Pro 0813
89.8
Frontiercode
DeepSeek V4 Pro 0813 leads by +1.9
Claude Opus 4.6
26.6
DeepSeek V4 Pro 0813
28.6
FrontierMath-Tier-4-v2-Private
Claude Opus 4.6
26.8
DeepSeek V4 Pro 0813
26.8
FrontierMath-Tiers-1-3-v2-Private
Claude Opus 4.6 leads by +1.4
Claude Opus 4.6
66.0
DeepSeek V4 Pro 0813
64.6
GPQA diamond
DeepSeek V4 Pro 0813 leads by +1.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Opus 4.6
87.4
DeepSeek V4 Pro 0813
88.9
Lmca
Claude Opus 4.6 leads by +12.1
Claude Opus 4.6
65.6
DeepSeek V4 Pro 0813
53.5
Mystery Game Puzzles
DeepSeek V4 Pro 0813 leads by +19.8
Claude Opus 4.6
17.4
DeepSeek V4 Pro 0813
37.2
OTIS Mock AIME 2024-2025
DeepSeek V4 Pro 0813 leads by +4.2
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 4.6
94.4
DeepSeek V4 Pro 0813
98.6
Proofbench
Claude Opus 4.6
50.0
DeepSeek V4 Pro 0813
50.0
SimpleQA Verified
DeepSeek V4 Pro 0813 leads by +5.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Opus 4.6
47.0
DeepSeek V4 Pro 0813
52.9
WeirdML
Claude Opus 4.6 leads by +11.7
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 4.6
78.0
DeepSeek V4 Pro 0813
66.2
Full benchmark table
| Benchmark | Claude Opus 4.6 | DeepSeek V4 Pro 0813 |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 46.3 | 47.3 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 94.0 | 90.5 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 69.2 | 61.3 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 12.7 | 44.2 |
Dtbench | 85.3 | 89.8 |
Frontiercode | 26.6 | 28.6 |
FrontierMath-Tier-4-v2-Private | 26.8 | 26.8 |
FrontierMath-Tiers-1-3-v2-Private | 66.0 | 64.6 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 87.4 | 88.9 |
Lmca | 65.6 | 53.5 |
Mystery Game Puzzles | 17.4 | 37.2 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 94.4 | 98.6 |
Proofbench | 50.0 | 50.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 47.0 | 52.9 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 78.0 | 66.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 | |
| $0.55 | $5.00 | 1.0M tokens (~524 books) | $16.63 |
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