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Devstral Medium vs Grok-4 Heavy
Comprehensive side-by-side LLM comparison
Grok-4 Heavy leads with 59.4% higher average benchmark score. Grok-4 Heavy supports multimodal inputs. Overall, Grok-4 Heavy is the stronger choice for coding tasks.
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Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). 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.
1 days newer
Grok-4 Heavy
xAI
2025-07-09
Devstral Medium
Mistral AI
2025-07-10
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Devstral Medium
Average Score:8.8%
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Grok-4 Heavy
Average Score:68.2%(+59.4%)
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Knowledge Cutoff
Training data recency comparison
Grok-4 Heavy
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Grok-4 Heavy
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Devstral Medium
Avg Score:8.8%
Providers:1
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Grok-4 Heavy
Avg Score:68.2%(+59.4%)
Providers:0