Model Comparison
DeepSeek-V3 0324 vs Devstral Small 1.1Which is better in 2026?
Comparing DeepSeek-V3 0324 and Devstral Small 1.1 across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V3 0324 vs Devstral Small 1.1 — which is better?
DeepSeek-V3 0324 (by DeepSeek) and Devstral Small 1.1 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Devstral Small 1.1 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 0324 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 0324 if…
- you process long inputs — it offers a 163,840 token context window
Choose Devstral Small 1.1 if…
- cost matters — it's about 3.3x cheaper per token
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 and Devstral Small 1.1 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 2.8x more expensive than Devstral Small 1.1 ($0.10/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 3.8x more expensive than Devstral Small 1.1 ($0.30/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 647.0B more parameters than Devstral Small 1.1, making it 2695.8% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to Devstral Small 1.1's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Devstral Small 1.1 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Devstral Small 1.1 was released on 2025-07-11.
Devstral Small 1.1 is 4 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.2 years ago
Jul 11, 2025
11 months ago
3mo 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 0324 is available from Novita. Devstral Small 1.1 is available from Mistral AI.
DeepSeek-V3 0324
Devstral Small 1.1
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Devstral Small 1.1
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs Devstral Small 1.1.