Mistral Large 4 vs Muse Wonder
Mistral Large 4 and Muse Wonder are closely matched at 46.2 and 47.9 on the LLM Stats Score. Mistral Large 4 is 7.7x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Mistral Large 4 and Muse Wonder are closely matched on the overall LLM Stats Score at 46.2 and 47.9.
In the 2 individual benchmarks reported for both models, Muse Wonder wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 7.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Wonder 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
- cost matters — it's about 7.7x cheaper per token
Choose Muse Wonder
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Mistral Large 4 · 16 for Muse Wonder
Mistral Large 4 outperforms in 0 benchmarks, while Muse Wonder is better at 2 benchmarks (DeepSWE 1.1, GDP.pdf).
Muse Wonder 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 ($0.68/1M tokens) is 5.9x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 9.6x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Wonder accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Mistral Large 4 and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 4
Muse Wonder
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
Mistral Large 4 was released on 2026-10-06, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 0 month newer than Mistral Large 4.
Oct 6, 2026
6 days ago
Oct 12, 2026
0 days ago
6d 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 Wonder is available from Meta Model API.
Mistral Large 4
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Muse Wonder.