Mistral Large 4 vs Muse Glimmer-30B
Mistral Large 4 leads the LLM Stats Score 46.2 to 34.5. Muse Glimmer-30B is 2.0x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.2 to 34.5, ranking #34 overall.
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 Glimmer-30B is roughly 2.0x 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 Mistral Large 4
- overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Muse Glimmer-30B
- cost matters — it's about 2.0x cheaper per token
- you need open weights you can self-host or fine-tune
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 · 25 for Muse Glimmer-30B
Mistral Large 4 outperforms in 1 benchmarks (SciCode), while Muse Glimmer-30B 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 ($0.68/1M tokens) is 2.3x more expensive than Muse Glimmer-30B ($0.30/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 1.7x more expensive than Muse Glimmer-30B ($1.20/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Muse Glimmer-30B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 1020.4B more parameters than Muse Glimmer-30B, making it 3447.3% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Muse Glimmer-30B's 131,072 tokens. Only Muse Glimmer-30B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 4 and Muse Glimmer-30B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 4
Muse Glimmer-30B
License
Usage and distribution terms
Mistral Large 4 is licensed under a proprietary license, while Muse Glimmer-30B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Large 4 was released on 2026-10-06, while Muse Glimmer-30B was released on 2026-08-10.
Mistral Large 4 is 2 months newer than Muse Glimmer-30B.
Oct 6, 2026
2 days ago
1mo newerAug 10, 2026
1 months ago
Knowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while Mistral Large 4's cutoff date is not specified.
We can confirm Muse Glimmer-30B's training data extends to 2026-01-04, but cannot make a direct comparison without Mistral Large 4's cutoff date.
—
Jan 2026
Provider Availability
Mistral Large 4 is available from Mistral AI. Muse Glimmer-30B is available from DeepInfra.
Mistral Large 4
Muse Glimmer-30B
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Muse Glimmer-30B.