Model Comparison

DeepSeek-R1-0528 vs Devstral Medium

Devstral Medium significantly outperforms across most benchmarks. Devstral Medium is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-R1-0528 outperforms in 0 benchmarks, while Devstral Medium is better at 1 benchmark (SWE-Bench Verified).

Devstral Medium significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Medium costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 1.3x more expensive than Devstral Medium ($0.40/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 1.1x more expensive than Devstral Medium ($2.00/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Devstral Medium.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-R1-0528 accepts 131,072 input tokens compared to Devstral Medium's 128,000 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while Devstral Medium is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Fri May 01 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Devstral Medium uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-R1-0528

MIT

Open weights

Devstral Medium

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Devstral Medium was released on 2025-07-10.

Devstral Medium is 1 month newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

11 months ago

Devstral Medium

Jul 10, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Devstral Medium is available from Mistral AI.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

Devstral Medium

mistral logo
Mistral
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Has open weights
Mistral AI
Less expensive input tokens
Less expensive output tokens
Higher SWE-Bench Verified score (61.6% vs 44.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Mistral AI
Devstral Medium

FAQ

Common questions about DeepSeek-R1-0528 vs Devstral Medium

Devstral Medium significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Devstral Medium is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Devstral Medium scores SWE-Bench Verified: 61.6%.
Devstral Medium is 1.3x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Devstral Medium costs $0.40/M input and $2.00/M output via mistral.
DeepSeek-R1-0528 supports 131K tokens and Devstral Medium supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.50 vs $0.40/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and Devstral Medium is developed by Mistral AI.