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Claude 3 Haiku vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 32.5% higher average benchmark score. Claude 3 Haiku supports multimodal inputs. Claude 3 Haiku is available on 3 providers. Overall, Phi 4 Reasoning 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-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
1 year newer
Claude 3 Haiku
Anthropic
2024-03-13
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Claude 3 Haiku
Average Score:33.3%
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Phi 4 Reasoning
Average Score:65.8%(+32.5%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 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:33.3%
Providers:3
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Phi 4 Reasoning
Avg Score:65.8%(+32.5%)
Providers:0