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DeepSeek-R1 vs Mistral Large 2
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 6.1K more tokens in context window than Mistral Large 2. DeepSeek-R1 is $5.26 cheaper per million tokens. 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
Mistral Large 2 was introduced as the second generation of Mistral's flagship model, designed to provide frontier-level capabilities across diverse language tasks. Built with enhanced reasoning, coding, and multilingual abilities, it represents Mistral's most advanced offering for enterprise and demanding applications.
6 months newer
Mistral Large 2
Mistral AI
2024-07-24
DeepSeek-R1
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($5.26 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
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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Mistral Large 2
Avg Score:0.0%
Providers:2