DeepSeek-V3.1 vs Devstral Medium
DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 1.8x cheaper per token.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek-V3.1 outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Medium is better at 0 benchmarks. DeepSeek-V3.1 significantly outperforms across most benchmarks.
On price, DeepSeek-V3.1 is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3.1 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V3.1
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.8x cheaper per token
- you process long inputs — it offers a 163,840 token context window
- you need open weights you can self-host or fine-tune
Choose Devstral Medium
- you want the most recent training data — it shipped Jul 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.1 outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Medium is better at 0 benchmarks.
DeepSeek-V3.1 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 1.5x cheaper than Devstral Medium ($0.40/1M tokens).
For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 2.0x cheaper than Devstral Medium ($2.00/1M tokens).
In conclusion, Devstral Medium is more expensive than DeepSeek-V3.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V3.1 accepts 163,840 input tokens compared to Devstral Medium's 128,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Devstral Medium is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek-V3.1 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.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3.1 was released on 2025-01-10, while Devstral Medium was released on 2025-07-10.
Devstral Medium is 6 months newer than DeepSeek-V3.1.
Jan 10, 2025
1.6 years ago
Jul 10, 2025
1.1 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.1 is available from DeepInfra, Novita. Devstral Medium is available from Mistral AI.
DeepSeek-V3.1
Devstral Medium
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.1 and Devstral Medium side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.1 vs Devstral Medium.