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Claude Opus 4.1 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 1.9% higher average benchmark score. Claude Opus 4.1 is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). It supports a 232K token context window for handling large documents. The model is available through 4 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
11 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Claude Opus 4.1
Anthropic
2025-08-05
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Claude Opus 4.1
Average Score:34.2%
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Phi-3.5-vision-instruct
Average Score:36.1%(+1.9%)
Provider Availability & Performance
Available providers and their performance metrics
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Claude Opus 4.1
4 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 120 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude Opus 4.1
Avg Score:34.2%
Providers:4
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Phi-3.5-vision-instruct
Avg Score:36.1%(+1.9%)
Providers:0