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Grok-1.5V vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 34.7% higher average benchmark score. Grok-1.5V supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
4 months newer
Grok-1.5V
xAI
2024-04-12
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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Grok-1.5V
Average Score:13.2%
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Phi-3.5-mini-instruct
Average Score:47.9%(+34.7%)
Provider Availability & Performance
Available providers and their performance metrics
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Grok-1.5V
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Grok-1.5V
Avg Score:13.2%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:47.9%(+34.7%)
Providers:1