MiniMax M2.7 vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 45.3 to 35.4. MiniMax M2.7 is 3.8x cheaper per token.
MiniMax · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 45.3 to 35.4, ranking #42 overall.
In the 1 individual benchmarks reported for both models, MiniMax M2.7 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M2.7 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open 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 M2.7
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.8x cheaper per token
Choose Muse Spark Open
- overall performance matters — it scores 45.3 and ranks #42 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- 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
11 reported for MiniMax M2.7 · 17 for Muse Spark Open
MiniMax M2.7 outperforms in 1 benchmarks (Artificial Analysis), while Muse Spark Open is better at 0 benchmarks.
MiniMax M2.7 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 M2.7 ($0.30/1M tokens) is 4.2x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, MiniMax M2.7 ($1.20/1M tokens) is 3.5x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than MiniMax M2.7.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to MiniMax M2.7's 196,608 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while MiniMax M2.7 is limited to 196,608 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas MiniMax M2.7 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.7
Muse Spark Open
License
Usage and distribution terms
MiniMax M2.7 is licensed under MIT, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
MiniMax M2.7 was released on 2026-03-18, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 7 months newer than MiniMax M2.7.
Mar 18, 2026
7 months ago
Oct 15, 2026
4 days ago
7mo 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 M2.7 is available from Fireworks, MiniMax, Novita, DeepInfra. Muse Spark Open is available from Together.
MiniMax M2.7
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M2.7 and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M2.7 vs Muse Spark Open.