Gemma 3 4B vs Mistral Large 2
Mistral Large 2 leads the LLM Stats Score 7.4 to -1.9. Gemma 3 4B is 120.0x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Mistral Large 2 leads the overall LLM Stats Score 7.4 to -1.9, ranking #288 overall.
In the 2 individual benchmarks reported for both models, Mistral Large 2 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 3 4B is roughly 120.0x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3 4B
- cost matters — it's about 120.0x 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 Large 2
- overall performance matters — it scores 7.4 and ranks #288 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 4B · 5 for Mistral Large 2
Gemma 3 4B outperforms in 0 benchmarks, while Mistral Large 2 is better at 2 benchmarks (GSM8k, HumanEval).
Mistral Large 2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 4B ($0.02/1M tokens) is 100.0x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 150.0x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 2 has 119.0B more parameters than Gemma 3 4B, making it 2975.0% larger.
Context Window
Maximum input and output token capacity
Gemma 3 4B accepts 131,072 input tokens compared to Mistral Large 2's 128,000 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Mistral Large 2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 3 4B supports multimodal inputs, whereas Mistral Large 2 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 Large 2
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Mistral Large 2 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 Large 2 was released on 2024-07-24.
Gemma 3 4B is 8 months newer than Mistral Large 2.
Mar 12, 2025
1.5 years ago
7mo newerJul 24, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Mistral Large 2'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 Large 2's cutoff date.
Aug 2024
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Provider Availability
Gemma 3 4B is available from DeepInfra. Mistral Large 2 is available from Google, Mistral AI.
Gemma 3 4B
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs Mistral Large 2.