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Claude 3 Haiku vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 11.0% higher average benchmark score. GPT-4.1 nano offers 680.3K more tokens in context window than Claude 3 Haiku. GPT-4.1 nano is $1.00 cheaper per million tokens. Claude 3 Haiku is available on 3 providers. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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Anthropic
Claude 3 Haiku was created as the fastest and most affordable model in its intelligence class, processing 21K tokens per second for prompts under 32K tokens. Built for enterprise workloads requiring quick analysis of large datasets, it combines state-of-the-art vision capabilities with strong performance on industry benchmarks while prioritizing speed, affordability, and enterprise-grade security.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
1 year newer
Claude 3 Haiku
Anthropic
2024-03-13
GPT-4.1 nano
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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Claude 3 Haiku
Input:$0.25
Output:$1.25
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GPT-4.1 nano
Input:$0.10
Output:$0.40($1.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Claude 3 Haiku
Average Score:54.3%
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GPT-4.1 nano
Average Score:65.2%(+11.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3 Haiku
Avg Score:54.3%
Providers:3
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GPT-4.1 nano
Avg Score:65.2%(+11.0%)
Providers:1