MiniMax M1 80K vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 54.3 to 21.4. MiniMax M1 80K is 2.1x cheaper per token.
MiniMax · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 21.4, ranking #6 overall.
On price, MiniMax M1 80K is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 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 M1 80K
- cost matters — it's about 2.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 54.3 and ranks #6 on LLM Stats
- your work emphasizes reasoning and coding — 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 Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for MiniMax M1 80K · 11 for Muse Spark 1.3
MiniMax M1 80K and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M1 80K ($0.55/1M tokens) is 2.3x cheaper than Muse Spark 1.3 ($1.25/1M tokens).
For output processing, MiniMax M1 80K ($2.20/1M tokens) is 1.9x cheaper than Muse Spark 1.3 ($4.25/1M tokens).
In conclusion, Muse Spark 1.3 is more expensive than MiniMax M1 80K.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas MiniMax M1 80K does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 80K
Muse Spark 1.3
License
Usage and distribution terms
MiniMax M1 80K is licensed under MIT, while Muse Spark 1.3 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 M1 80K was released on 2025-06-16, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 15 months newer than MiniMax M1 80K.
Jun 16, 2025
1.3 years ago
Sep 2, 2026
2 weeks ago
1.2yr 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 M1 80K is available from Novita. Muse Spark 1.3 is available from Meta Model API.
MiniMax M1 80K
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M1 80K and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M1 80K vs Muse Spark 1.3.