MiniMax M3 vs Muse Spark 1.2
MiniMax M3 and Muse Spark 1.2 are closely matched at 41.9 and 41.1 on the LLM Stats Score. Muse Spark 1.2 is 4.2x cheaper per token.
MiniMax · Meta · Updated for 2026
Which is better?
MiniMax M3 and Muse Spark 1.2 are closely matched on the overall LLM Stats Score at 41.9 and 41.1.
In the 1 individual benchmarks reported for both models, Muse Spark 1.2 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.2 is roughly 4.2x 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 MiniMax M3
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.2
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 4.2x 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 Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
35 reported for MiniMax M3 · 3 for Muse Spark 1.2
MiniMax M3 outperforms in 0 benchmarks, while Muse Spark 1.2 is better at 1 benchmark (Terminal-Bench 2.1).
Muse Spark 1.2 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, MiniMax M3 ($0.30/1M tokens) is 3.0x more expensive than Muse Spark 1.2 ($0.10/1M tokens).
For output processing, MiniMax M3 ($1.20/1M tokens) is 6.0x more expensive than Muse Spark 1.2 ($0.20/1M tokens).
In conclusion, MiniMax M3 is more expensive than Muse Spark 1.2.*
* 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 MiniMax M3's 512,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both MiniMax M3 and Muse Spark 1.2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiniMax M3
Muse Spark 1.2
License
Usage and distribution terms
MiniMax M3 is licensed under MIT, while Muse Spark 1.2 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M3 was released on 2026-06-01, while Muse Spark 1.2 was released on 2026-08-05.
Muse Spark 1.2 is 2 months newer than MiniMax M3.
Jun 1, 2026
2 months ago
Aug 5, 2026
3 weeks ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M3 is available from Fireworks, MiniMax, Novita, Together. Muse Spark 1.2 is available from Meta Model API.
MiniMax M3
Muse Spark 1.2
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M3 and Muse Spark 1.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M3 vs Muse Spark 1.2.