Model Comparison
DeepSeek R1 Distill Qwen 32B vs Devstral Small 1.1Which is better in 2026?
Comparing DeepSeek R1 Distill Qwen 32B and Devstral Small 1.1 across benchmarks, pricing, and capabilities.
Verdict: DeepSeek R1 Distill Qwen 32B vs Devstral Small 1.1 — which is better?
DeepSeek R1 Distill Qwen 32B (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, DeepSeek R1 Distill Qwen 32B is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose DeepSeek R1 Distill Qwen 32B if…
- cost matters — it's about 1.1x cheaper per token
Choose Devstral Small 1.1 if…
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B and Devstral Small 1.1don'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 R1 Distill Qwen 32B ($0.12/1M tokens) is 1.2x more expensive than Devstral Small 1.1 ($0.10/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.7x cheaper than Devstral Small 1.1 ($0.30/1M tokens).
In conclusion, Devstral Small 1.1 is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek R1 Distill Qwen 32B has 8.8B more parameters than Devstral Small 1.1, making it 36.7% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, 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
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Devstral Small 1.1 was released on 2025-07-11.
Devstral Small 1.1 is 6 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.4 years ago
Jul 11, 2025
11 months ago
5mo 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 R1 Distill Qwen 32B is available from DeepInfra. Devstral Small 1.1 is available from Mistral AI.
DeepSeek R1 Distill Qwen 32B
Devstral Small 1.1
Outputs Comparison
Key Takeaways
Devstral Small 1.1
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Devstral Small 1.1.