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Claude Haiku 4.5 vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
Claude Haiku 4.5 leads with 15.4% higher average benchmark score. Claude Haiku 4.5 offers 72.3K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $4.73 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Overall, Claude Haiku 4.5 is the stronger choice for coding tasks.
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Anthropic
Claude Haiku 4.5 continues Anthropic's tradition of fast, efficient models in the fourth generation Claude family. Designed to maintain the hallmark speed and cost-effectiveness of the Haiku line while incorporating advancements from the Claude 4 series, it serves applications requiring rapid processing and quick turnaround times.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
9 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Claude Haiku 4.5
Anthropic
2025-10-15
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Pricing Comparison
Cost per million tokens (USD)
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Claude Haiku 4.5
Input:$1.00
Output:$5.00
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($4.73 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Claude Haiku 4.5
Average Score:70.9%(+15.4%)
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DeepSeek-V3.1
Average Score:55.5%
Performance comparison across key benchmark categories
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Claude Haiku 4.5
Coding73.3%(+7.3%)
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DeepSeek-V3.1
Coding66.0%
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Knowledge Cutoff
Training data recency comparison
Claude Haiku 4.5
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude Haiku 4.5
1 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
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DeepSeek-V3.1
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Claude Haiku 4.5
Avg Score:70.9%(+15.4%)
Providers:1
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DeepSeek-V3.1
Avg Score:55.5%
Providers:2