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Grok-3 Mini vs Magistral Medium
Comprehensive side-by-side LLM comparison
Grok-3 Mini leads with 5.9% higher average benchmark score. Overall, Grok-3 Mini is the stronger choice for coding tasks.
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xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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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Mistral AI
Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). 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 2025, it represents Mistral AI's latest advancement in AI technology.
3 months newer
Grok-3 Mini
xAI
2025-02-17
Magistral Medium
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Grok-3 Mini
Average Score:58.5%(+5.9%)
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Magistral Medium
Average Score:52.6%
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Knowledge Cutoff
Training data recency comparison
Grok-3 Mini
2024-11-17
Magistral Medium
2025-06-01
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 Mini
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Magistral Medium
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Grok-3 Mini
Avg Score:58.5%(+5.9%)
Providers:1
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Magistral Medium
Avg Score:52.6%
Providers:0