Model Comparison
MiniMax M3 vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. MiniMax M3 is 3.8x cheaper per token.
Verdict: MiniMax M3 vs Muse Spark 1.1 — which is better?
MiniMax M3 (by MiniMax) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
MiniMax M3 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 5 benchmarks (Finance Agent v2, MCP Atlas, OSWorld-Verified, SWE-Bench Pro, Terminal-Bench 2.1). Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, MiniMax M3 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiniMax M3 if…
- cost matters — it's about 3.8x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M3 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 5 benchmarks (Finance Agent v2, MCP Atlas, OSWorld-Verified, SWE-Bench Pro, Terminal-Bench 2.1).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M3 ($0.30/1M tokens) is 4.2x cheaper than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, MiniMax M3 ($1.20/1M tokens) is 3.5x cheaper than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than MiniMax M3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 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
Supported data types and modalities
Both MiniMax M3 and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiniMax M3
Muse Spark 1.1
License
Usage and distribution terms
MiniMax M3 is licensed under MIT, while Muse Spark 1.1 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 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 1 month newer than MiniMax M3.
Jun 1, 2026
1 months ago
Jul 9, 2026
1 weeks ago
1mo 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, Novita, Together, MiniMax. Muse Spark 1.1 is available from Meta Model API.
MiniMax M3
Muse Spark 1.1
Outputs Comparison
Key Takeaways
MiniMax M3
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiniMax M3 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiniMax M3 vs Muse Spark 1.1.