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Grok-4 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 10.8% higher average benchmark score. Grok-4 is available on 2 providers. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
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xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
10 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Grok-4
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Grok-4
Average Score:27.6%
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Phi-3.5-vision-instruct
Average Score:38.4%(+10.8%)
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Knowledge Cutoff
Training data recency comparison
Grok-4
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-4
2 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Grok-4
Avg Score:27.6%
Providers:2
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Phi-3.5-vision-instruct
Avg Score:38.4%(+10.8%)
Providers:0