DeepSeek-V3.2 (Thinking) vs Devstral Medium Comparison

Comparing DeepSeek-V3.2 (Thinking) and Devstral Medium across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2 (Thinking) outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Medium is better at 0 benchmarks.

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, DeepSeek-V3.2 (Thinking) ($0.28/1M tokens) is 1.4x cheaper than Devstral Medium ($0.40/1M tokens).

For output processing, DeepSeek-V3.2 (Thinking) ($0.42/1M tokens) is 4.8x cheaper than Devstral Medium ($2.00/1M tokens).

In conclusion, Devstral Medium is more expensive than DeepSeek-V3.2 (Thinking).*

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

Lowest available price from all providers

Sat Mar 14 2026 • llm-stats.com

DeepSeek-V3.2 (Thinking)

Input tokens$0.28

Output tokens$0.42

Best providerDeepSeek

Devstral Medium

Input tokens$0.40

Output tokens$2.00

Best providerMistral

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Context Window

Maximum input and output token capacity

DeepSeek-V3.2 (Thinking) accepts 131,072 input tokens compared to Devstral Medium's 128,000 tokens. Devstral Medium can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2 (Thinking) is limited to 65,536 tokens.

DeepSeek-V3.2 (Thinking)

Input131,072 tokens

Output65,536 tokens

Devstral Medium

Input128,000 tokens

Output128,000 tokens

Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2 (Thinking) 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-V3.2 (Thinking)

MIT

Open weights

Devstral Medium

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while Devstral Medium was released on 2025-07-10.

DeepSeek-V3.2 (Thinking) is 5 months newer than Devstral Medium.

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

3 months ago

4mo newer

Devstral Medium

Jul 10, 2025

8 months ago

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-V3.2 (Thinking) is available from DeepSeek. Devstral Medium is available from Mistral AI. The availability of providers can affect quality of the model and reliability.