Model Comparison
Devstral Small 1.1 vs Ministral 3 (14B Reasoning 2512)Which is better in 2026?
Comparing Devstral Small 1.1 and Ministral 3 (14B Reasoning 2512) across benchmarks, pricing, and capabilities.
Verdict: Devstral Small 1.1 vs Ministral 3 (14B Reasoning 2512) — which is better?
Devstral Small 1.1 (by Mistral AI) and Ministral 3 (14B Reasoning 2512) (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 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ministral 3 (14B Reasoning 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.
Choose Devstral Small 1.1 if…
- cost matters — it's about 1.3x cheaper per token
Choose Ministral 3 (14B Reasoning 2512) if…
- you process long inputs — it offers a 262,100 token context window
- you want the most recent training data — it shipped Dec 2025
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Small 1.1 and Ministral 3 (14B Reasoning 2512)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, Devstral Small 1.1 ($0.10/1M tokens) is 2.0x cheaper than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.5x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Devstral Small 1.1 has 10.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 71.4% larger.
Context Window
Maximum input and output token capacity
Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Devstral Small 1.1's 128,000 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Devstral Small 1.1 does not.
Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
Ministral 3 (14B Reasoning 2512)
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.
Ministral 3 (14B Reasoning 2512) is 5 months newer than Devstral Small 1.1.
Jul 11, 2025
11 months ago
Dec 4, 2025
6 months ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Devstral Small 1.1 is available from Mistral AI. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.
Devstral Small 1.1
Ministral 3 (14B Reasoning 2512)
Outputs Comparison
Key Takeaways
Devstral Small 1.1
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Devstral Small 1.1 vs Ministral 3 (14B Reasoning 2512).