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Grok Code Fast 1 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 54.4% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
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xAI
Grok Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI'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.
1 year newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Grok Code Fast 1
xAI
2025-08-28
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Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Grok Code Fast 1
Average Score:7.1%
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Phi-3.5-vision-instruct
Average Score:61.4%(+54.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Grok Code Fast 1
1 providers
xAI
Throughput: 76.41 tok/s
Latency: 1.38ms
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Phi-3.5-vision-instruct
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Grok Code Fast 1
Avg Score:7.1%
Providers:1
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Phi-3.5-vision-instruct
Avg Score:61.4%(+54.4%)
Providers:0