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Grok-3 vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Grok-3 leads with 35.1% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Grok-3 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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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). 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
xAI
2025-02-17
Magistral Small 2506
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Grok-3
Average Score:85.7%(+35.1%)
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Magistral Small 2506
Average Score:50.6%
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Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
Magistral Small 2506
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
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Magistral Small 2506
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Grok-3
Avg Score:85.7%(+35.1%)
Providers:1
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Magistral Small 2506
Avg Score:50.6%
Providers:0