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Claude 3 Haiku vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 14.6% higher average benchmark score. Claude 3 Haiku offers 144.0K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $1.35 cheaper per million tokens. Claude 3 Haiku is available on 3 providers. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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Anthropic
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.
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Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
10 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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-4-multimodal-instruct
Input:$0.05
Output:$0.10($1.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Claude 3 Haiku
Average Score:28.6%
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Phi-4-multimodal-instruct
Average Score:43.2%(+14.6%)
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
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:28.6%
Providers:3
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Phi-4-multimodal-instruct
Avg Score:43.2%(+14.6%)
Providers:1