Devstral Small 1.1 vs Gemma 3 12B
Devstral Small 1.1 leads the LLM Stats Score 9.6 to 5.7. Gemma 3 12B is 2.4x cheaper per token.
Mistral AI · Google · Updated for 2026
Which is better?
Devstral Small 1.1 leads the overall LLM Stats Score 9.6 to 5.7, ranking #258 overall.
On price, Gemma 3 12B is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 3 12B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Devstral Small 1.1
- overall performance matters — it scores 9.6 and ranks #258 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Jul 2025
Choose Gemma 3 12B
- cost matters — it's about 2.4x cheaper per token
- you process long inputs — it offers a 131,072 token context window
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 26 for Gemma 3 12B
Devstral Small 1.1 and Gemma 3 12Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 2.0x more expensive than Gemma 3 12B ($0.05/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 3.0x more expensive than Gemma 3 12B ($0.10/1M tokens).
In conclusion, Devstral Small 1.1 is more expensive than Gemma 3 12B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Devstral Small 1.1 has 12.0B more parameters than Gemma 3 12B, making it 100.0% larger.
Context Window
Maximum input and output token capacity
Gemma 3 12B accepts 131,072 input tokens compared to Devstral Small 1.1's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 3 12B supports multimodal inputs, whereas Devstral Small 1.1 does not.
Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
Gemma 3 12B
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while Gemma 3 12B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Gemma 3 12B was released on 2025-03-12.
Devstral Small 1.1 is 4 months newer than Gemma 3 12B.
Jul 11, 2025
1.2 years ago
4mo newerMar 12, 2025
1.5 years ago
Knowledge 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. Gemma 3 12B is available from DeepInfra.
Devstral Small 1.1
Gemma 3 12B
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and Gemma 3 12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs Gemma 3 12B.