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Grok-3 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 32.5% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. 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 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
16 days newer
Phi 4 Mini
Microsoft
2025-02-01
Grok-3
xAI
2025-02-17
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Grok-3
Average Score:20.4%
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Phi 4 Mini
Average Score:52.9%(+32.5%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
Grok-3
2024-11-17
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-3
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Phi 4 Mini
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Grok-3
Avg Score:20.4%
Providers:1
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Phi 4 Mini
Avg Score:52.9%(+32.5%)
Providers:0