Gemma 3n E4B Instructed vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 45.8 to -5.1. Mistral Large 4 is 24.2x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 45.8 to -5.1, ranking #39 overall.
On price, Mistral Large 4 is roughly 24.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 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 3n E4B Instructed
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose Mistral Large 4
- overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 24.2x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Gemma 3n E4B Instructed · 18 for Mistral Large 4
Gemma 3n E4B Instructed and Mistral Large 4don'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, Gemma 3n E4B Instructed ($20.00/1M tokens) is 29.4x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 19.1x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 1042.0B more parameters than Gemma 3n E4B Instructed, making it 13025.0% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemma 3n E4B Instructed and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B Instructed
Mistral Large 4
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3n E4B Instructed was released on 2025-06-26, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 16 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.3 years ago
Oct 6, 2026
1 weeks ago
1.3yr newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Mistral Large 4's cutoff date is not specified.
We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Jun 2024
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Provider Availability
Gemma 3n E4B Instructed is available from Together. Mistral Large 4 is available from Mistral AI.
Gemma 3n E4B Instructed
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E4B Instructed vs Mistral Large 4.