Model Comparison
Gemma 3 4B vs Mistral SmallWhich is better in 2026?
Comparing Gemma 3 4B and Mistral Small across benchmarks, pricing, and capabilities.
Verdict: Gemma 3 4B vs Mistral Small — which is better?
Gemma 3 4B (by Google) and Mistral Small (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, Gemma 3 4B is roughly 12.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 3 4B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3 4B if…
- cost matters — it's about 12.0x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Mar 2025
Choose Mistral Small if…
- you want predictable pricing at $0.20/M input and $0.60/M output
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 4B and Mistral Smalldon'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, Gemma 3 4B ($0.02/1M tokens) is 10.0x cheaper than Mistral Small ($0.20/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 15.0x cheaper than Mistral Small ($0.60/1M tokens).
In conclusion, Mistral Small is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Small has 18.0B more parameters than Gemma 3 4B, making it 450.0% larger.
Context Window
Maximum input and output token capacity
Gemma 3 4B accepts 131,072 input tokens compared to Mistral Small's 32,768 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Mistral Small is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas Mistral Small does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 4B
Mistral Small
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while Mistral Small was released on 2024-09-17.
Gemma 3 4B is 6 months newer than Mistral Small.
Mar 12, 2025
1.4 years ago
5mo newerSep 17, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Mistral Small's cutoff date is not specified.
We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Mistral Small's cutoff date.
Aug 2024
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Provider Availability
Gemma 3 4B is available from DeepInfra. Mistral Small is available from Mistral AI.
Gemma 3 4B
Mistral Small
Outputs Comparison
Key Takeaways
Gemma 3 4B
View detailsMistral Small
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 3 4B and Mistral Small side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 3 4B vs Mistral Small.