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Claude 3 Haiku vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 5.3% higher average benchmark score. 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 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-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Claude 3 Haiku
Average Score:37.6%(+5.3%)
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Phi-3.5-vision-instruct
Average Score:32.3%
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:37.6%(+5.3%)
Providers:3
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Phi-3.5-vision-instruct
Avg Score:32.3%
Providers:0