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Claude 3.5 Haiku vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 29.6% higher average benchmark score. GPT-5 nano offers 128.0K more tokens in context window than Claude 3.5 Haiku. GPT-5 nano is $4.35 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano 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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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
9 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
GPT-5 nano
OpenAI
2025-08-07
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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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GPT-5 nano
Input:$0.05
Output:$0.40($4.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Claude 3.5 Haiku
Average Score:41.6%
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GPT-5 nano
Average Score:71.2%(+29.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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 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:41.6%
Providers:3
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GPT-5 nano
Avg Score:71.2%(+29.6%)
Providers:2