Devstral Small 1.1 vs Gemini 4 Argon
Gemini 4 Argon leads the LLM Stats Score 55.1 to 8.6. Devstral Small 1.1 is 26.7x cheaper per token.
Mistral AI · Google · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 8.6, ranking #4 overall.
On price, Devstral Small 1.1 is roughly 26.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 4 Argon also accepts a larger context window (1,048,576 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
- cost matters — it's about 26.7x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 19 for Gemini 4 Argon
Devstral Small 1.1 and Gemini 4 Argondon'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 20.0x cheaper than Gemini 4 Argon ($2.00/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 33.3x cheaper than Gemini 4 Argon ($10.00/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 4 Argon accepts 1,048,576 input tokens compared to Devstral Small 1.1's 128,000 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 4 Argon supports multimodal inputs, whereas Devstral Small 1.1 does not.
Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
Gemini 4 Argon
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while Gemini 4 Argon uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Gemini 4 Argon was released on 2026-09-30.
Gemini 4 Argon is 15 months newer than Devstral Small 1.1.
Jul 11, 2025
1.3 years ago
Sep 30, 2026
2 weeks ago
1.2yr 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. Gemini 4 Argon is available from Google.
Devstral Small 1.1
Gemini 4 Argon
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and Gemini 4 Argon side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs Gemini 4 Argon.