Mistral Large 4 vs Muse Ember
Mistral Large 4 and Muse Ember are closely matched at 46.0 and 45.9 on the LLM Stats Score. Muse Ember is 5.2x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Mistral Large 4 and Muse Ember are closely matched on the overall LLM Stats Score at 46.0 and 45.9.
In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Ember is roughly 5.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Ember 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 Mistral Large 4
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you need open weights you can self-host or fine-tune
Choose Muse Ember
- cost matters — it's about 5.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for Mistral Large 4 · 6 for Muse Ember
Mistral Large 4 outperforms in 1 benchmarks (Terminal-Bench 4.0), while Muse Ember is better at 0 benchmarks.
Mistral Large 4 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, Mistral Large 4 ($0.70/1M tokens) is 7.0x more expensive than Muse Ember ($0.10/1M tokens).
For output processing, Mistral Large 4 ($2.10/1M tokens) is 4.2x more expensive than Muse Ember ($0.50/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Muse Ember.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Ember accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Muse Ember specifies output context (524,288 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 4 and Muse Ember support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 4
Muse Ember
License
Usage and distribution terms
Mistral Large 4 is licensed under Modified MIT License, while Muse Ember uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 4 was released on 2026-10-06, while Muse Ember was released on 2026-11-09.
Muse Ember is 1 month newer than Mistral Large 4.
Oct 6, 2026
1 months ago
Nov 9, 2026
3 days ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Large 4 is available from Mistral AI. Muse Ember is available from Meta Model API.
Mistral Large 4
Muse Ember
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Muse Ember side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Muse Ember.