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Claude 3.5 Haiku vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Claude 3.5 Haiku leads with 22.5% higher average benchmark score. Claude 3.5 Haiku offers 144.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $4.60 cheaper per million tokens. Claude 3.5 Haiku is available on 3 providers. 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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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
2 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($4.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Claude 3.5 Haiku
Average Score:69.9%(+22.5%)
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Phi-3.5-mini-instruct
Average Score:47.4%
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:69.9%(+22.5%)
Providers:3
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Phi-3.5-mini-instruct
Avg Score:47.4%
Providers:1