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Grok-2 mini vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 36.1% higher average benchmark score. Grok-2 mini supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). 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.
10 days newer
Grok-2 mini
xAI
2024-08-13
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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Grok-2 mini
Average Score:17.4%
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Phi-3.5-mini-instruct
Average Score:53.5%(+36.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Grok-2 mini
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Grok-2 mini
Avg Score:17.4%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:53.5%(+36.1%)
Providers:1