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Claude 3.5 Haiku vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 25.8% higher average benchmark score. Claude 3.5 Haiku offers 72.3K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $3.53 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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Anthropic
Claude 3.5 Haiku was developed as the next generation of Anthropic's fastest model, offering similar speed to Claude 3 Haiku while surpassing Claude 3 Opus on many intelligence benchmarks. Built with low latency, improved instruction following, and accurate tool use, it serves user-facing products, specialized sub-agent tasks, and data-heavy applications.
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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.
2 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
DeepSeek-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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Claude 3.5 Haiku
Input:$0.80
Output:$4.00
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($3.53 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Claude 3.5 Haiku
Average Score:49.1%
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DeepSeek-V3.1
Average Score:74.9%(+25.8%)
Performance comparison across key benchmark categories
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Claude 3.5 Haiku
Coding40.6%
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DeepSeek-V3.1
Coding66.0%(+25.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Claude 3.5 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3.5 Haiku
Avg Score:49.1%
Providers:3
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DeepSeek-V3.1
Avg Score:74.9%(+25.8%)
Providers:2