Compare · ModelsLive · 2 picked · head to head
Claude Haiku 4.5 vs DeepSeek V4.1 Flash 1017
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4.1 Flash 1017 wins on 7/7 benchmarks
DeepSeek V4.1 Flash 1017 wins 7 of 7 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·DeepSeek V4.1 Flash 1017reasoning·DeepSeek V4.1 Flash 1017knowledge·DeepSeek V4.1 Flash 1017math·DeepSeek V4.1 Flash 1017
Hype vs Reality
Attention vs performance
Claude Haiku 4.5
#247 by perf·#17 by attention
DeepSeek V4.1 Flash 1017
#41 by perf·#4 by attention
Best value
DeepSeek V4.1 Flash 1017
22.8x better value than Claude Haiku 4.5
Claude Haiku 4.5
11.2 pts/$
$3.00/M
DeepSeek V4.1 Flash 1017
254.9 pts/$
$0.25/M
Vendor risk
Mixed exposure
One or more vendors flagged
Anthropic
$965.0B·Tier 1
DeepSeek
$3.4B·Tier 1
Head to head
7 benchmarks · 2 models
Claude Haiku 4.5DeepSeek V4.1 Flash 1017
APEX-Agents
DeepSeek V4.1 Flash 1017 leads by +60.9
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Haiku 4.5
8.9
DeepSeek V4.1 Flash 1017
69.8
ARC-AGI
DeepSeek V4.1 Flash 1017 leads by +46.8
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Haiku 4.5
47.7
DeepSeek V4.1 Flash 1017
94.5
ARC-AGI-2
DeepSeek V4.1 Flash 1017 leads by +74.0
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Haiku 4.5
4.0
DeepSeek V4.1 Flash 1017
78.1
Chess Puzzles
DeepSeek V4.1 Flash 1017 leads by +40.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Haiku 4.5
3.2
DeepSeek V4.1 Flash 1017
43.2
GPQA diamond
DeepSeek V4.1 Flash 1017 leads by +33.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Haiku 4.5
61.6
DeepSeek V4.1 Flash 1017
94.7
OTIS Mock AIME 2024-2025
DeepSeek V4.1 Flash 1017 leads by +32.8
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Haiku 4.5
66.6
DeepSeek V4.1 Flash 1017
99.4
SimpleQA Verified
DeepSeek V4.1 Flash 1017 leads by +36.6
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Haiku 4.5
5.9
DeepSeek V4.1 Flash 1017
42.5
Full benchmark table
| Benchmark | Claude Haiku 4.5 | DeepSeek V4.1 Flash 1017 |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 8.9 | 69.8 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 47.7 | 94.5 |
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. | 4.0 | 78.1 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 3.2 | 43.2 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 61.6 | 94.7 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 66.6 | 99.4 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 5.9 | 42.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.00 | $5.00 | 200K tokens (~100 books) | $20.00 | |
| $0.01 | $0.50 | 1.0M tokens (~524 books) | $1.29 |
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