Model Comparison
Gemma 3 4B vs Mistral NeMo InstructWhich is better in 2026?
Comparing Gemma 3 4B and Mistral NeMo Instruct across benchmarks, pricing, and capabilities.
Verdict: Gemma 3 4B vs Mistral NeMo Instruct — which is better?
Gemma 3 4B (by Google) and Mistral NeMo Instruct (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 6.0x 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 6.0x 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 NeMo Instruct if…
- you want predictable pricing at $0.15/M input and $0.15/M output
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 4B and Mistral NeMo Instruct 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, Gemma 3 4B ($0.02/1M tokens) is 7.5x cheaper than Mistral NeMo Instruct ($0.15/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 3.8x cheaper than Mistral NeMo Instruct ($0.15/1M tokens).
In conclusion, Mistral NeMo Instruct is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral NeMo Instruct has 8.0B more parameters than Gemma 3 4B, making it 200.0% larger.
Context Window
Maximum input and output token capacity
Gemma 3 4B accepts 131,072 input tokens compared to Mistral NeMo Instruct's 128,000 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Mistral NeMo Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas Mistral NeMo Instruct 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 NeMo Instruct
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Mistral NeMo Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while Mistral NeMo Instruct was released on 2024-07-18.
Gemma 3 4B is 8 months newer than Mistral NeMo Instruct.
Mar 12, 2025
1.2 years ago
7mo newerJul 18, 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 NeMo Instruct'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 NeMo Instruct's cutoff date.
Aug 2024
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Provider Availability
Gemma 3 4B is available from DeepInfra. Mistral NeMo Instruct is available from Google, Mistral AI.
Gemma 3 4B
Mistral NeMo Instruct
Outputs Comparison
Key Takeaways
Gemma 3 4B
View detailsMistral NeMo Instruct
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Gemma 3 4B vs Mistral NeMo Instruct.