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Claude 3 Haiku vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 7.6% higher average benchmark score. Claude 3 Haiku offers 144.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $1.30 cheaper per million tokens. Claude 3 Haiku supports multimodal inputs. Claude 3 Haiku is available on 3 providers. Overall, Claude 3 Haiku 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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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.
5 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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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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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($1.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Claude 3 Haiku
Average Score:70.7%(+7.6%)
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Phi-3.5-mini-instruct
Average Score:63.1%
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:70.7%(+7.6%)
Providers:3
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Phi-3.5-mini-instruct
Avg Score:63.1%
Providers:1