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Claude 3.5 Haiku vs DeepSeek-V2.5
Comprehensive side-by-side LLM comparison
Claude 3.5 Haiku leads with 5.9% higher average benchmark score. Claude 3.5 Haiku offers 383.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $4.38 cheaper per million tokens. Overall, Claude 3.5 Haiku 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-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
5 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Claude 3.5 Haiku
Anthropic
2024-10-22
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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-V2.5
Input:$0.14
Output:$0.28($4.38 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Claude 3.5 Haiku
Average Score:66.0%(+5.9%)
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DeepSeek-V2.5
Average Score:60.2%
Performance comparison across key benchmark categories
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Claude 3.5 Haiku
Coding40.6%(+23.8%)
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DeepSeek-V2.5
Coding16.8%
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:66.0%(+5.9%)
Providers:3
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DeepSeek-V2.5
Avg Score:60.2%
Providers:3