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Claude Haiku 4.5 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Claude Haiku 4.5 leads with 35.1% higher average benchmark score. Claude Haiku 4.5 offers 144.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $5.80 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Overall, Claude Haiku 4.5 is the stronger choice for coding tasks.
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Anthropic
Claude Haiku 4.5 continues Anthropic's tradition of fast, efficient models in the fourth generation Claude family. Designed to maintain the hallmark speed and cost-effectiveness of the Haiku line while incorporating advancements from the Claude 4 series, it serves applications requiring rapid processing and quick turnaround times.
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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.
1 year newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Claude Haiku 4.5
Anthropic
2025-10-15
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Pricing Comparison
Cost per million tokens (USD)
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Claude Haiku 4.5
Input:$1.00
Output:$5.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($5.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Claude Haiku 4.5
Average Score:78.0%(+35.1%)
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Phi-3.5-mini-instruct
Average Score:42.9%
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Knowledge Cutoff
Training data recency comparison
Claude Haiku 4.5
2025-02-01
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 Haiku 4.5
1 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
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Phi-3.5-mini-instruct
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Claude Haiku 4.5
Avg Score:78.0%(+35.1%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:42.9%
Providers:1