Mistral Large 4 vs Muse Spark 1.2
Mistral Large 4 and Muse Spark 1.2 are closely matched at 46.4 and 37.9 on the LLM Stats Score. Mistral Large 4 is 1.9x cheaper per token.
Mistral AI · Meta · Updated for 2026
Which is better?
Mistral Large 4 and Muse Spark 1.2 are closely matched on the overall LLM Stats Score at 46.4 and 37.9.
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, Mistral Large 4 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.2 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
- cost matters — it's about 1.9x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose Muse Spark 1.2
- you process long inputs — it offers a 1,048,576 token context window
At a glance
The differences that matter most.
Individual benchmarks
15 reported for Mistral Large 4 · 3 for Muse Spark 1.2
Mistral Large 4 outperforms in 1 benchmarks (DeepSWE 1.1), while Muse Spark 1.2 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 1.8x cheaper than Muse Spark 1.2 ($1.25/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 2.0x cheaper than Muse Spark 1.2 ($4.25/1M tokens).
In conclusion, Muse Spark 1.2 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 Spark 1.2 accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Muse Spark 1.2 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 4 and Muse Spark 1.2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 4
Muse Spark 1.2
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 Spark 1.2 was released on 2026-08-05.
Mistral Large 4 is 2 months newer than Muse Spark 1.2.
Oct 6, 2026
1 days ago
2mo newerAug 5, 2026
2 months ago
Knowledge 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 Spark 1.2 is available from Meta Model API.
Mistral Large 4
Muse Spark 1.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Muse Spark 1.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Muse Spark 1.2.