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DeepSeek-R1 vs Devstral Medium
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 6.1K more tokens in context window than Devstral Medium. Both models have similar pricing. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
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Mistral AI
Devstral Medium was created as a development-focused model, designed to assist with software engineering workflows and developer-centric tasks. Built to provide balanced capability for coding, debugging, and technical documentation, it serves as a versatile tool for professional development environments.
5 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Devstral Medium
Mistral AI
2025-07-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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Devstral Medium
Input:$0.40
Output:$2.00($0.34 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Devstral Medium
Avg Score:0.0%
Providers:1