Model Comparison

Muse Spark vs MiniMax M2.7Which is better in 2026?

MiniMax M2.7 shows notably better performance in the majority of benchmarks.

Verdict: Muse Spark vs MiniMax M2.7 — which is better?

Muse Spark (by Meta) and MiniMax M2.7 (by MiniMax) 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.

Muse Spark outperforms in 1 benchmarks (Terminal-Bench 2.0), while MiniMax M2.7 is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro). MiniMax M2.7 shows notably better performance in the majority of benchmarks.

Choose Muse Spark if…

  • you want the most recent training data — it shipped Apr 2026

Choose MiniMax M2.7 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Muse Spark outperforms in 1 benchmarks (Terminal-Bench 2.0), while MiniMax M2.7 is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro).

MiniMax M2.7 shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only MiniMax M2.7 specifies input context (196,608 tokens). Only MiniMax M2.7 specifies output context (196,608 tokens).

Meta
Muse Spark
Input- tokens
Output- tokens
MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark supports multimodal inputs, whereas MiniMax M2.7 does not.

Muse Spark can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Spark

Text
Images
Audio
Video

MiniMax M2.7

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark is licensed under a proprietary license, while MiniMax M2.7 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Spark

Proprietary

Closed source

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

Muse Spark was released on 2026-04-08, while MiniMax M2.7 was released on 2026-03-18.

Muse Spark is 1 month newer than MiniMax M2.7.

Muse Spark

Apr 8, 2026

3 months ago

3w newer
MiniMax M2.7

Mar 18, 2026

4 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Supports multimodal inputs
Higher Terminal-Bench 2.0 score (59.0% vs 57.0%)
MiniMax
Larger context window (196,608 tokens)
Has open weights
Higher GDPval-AA score (39.3% vs 38.8%)
Higher SWE-Bench Pro score (56.2% vs 52.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Muse Spark and MiniMax M2.7 side-by-side, then vote on the output you prefer.

Muse Spark
✓ Preferred
MiniMax M2.7
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark
MiniMax
MiniMax M2.7

FAQ

Common questions about Muse Spark vs MiniMax M2.7.

Which is better, Muse Spark or MiniMax M2.7?

MiniMax M2.7 shows notably better performance in the majority of benchmarks. Muse Spark is made by Meta and MiniMax M2.7 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Muse Spark compare to MiniMax M2.7 in benchmarks?

Muse Spark scores Tau2 Telecom: 91.5%, GPQA: 89.5%, CharXiv-R: 86.4%, ScreenSpot Pro: 84.1%, IPhO 2025: 82.6%. MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.

What are the context window sizes for Muse Spark and MiniMax M2.7?

Muse Spark supports an unknown number of tokens and MiniMax M2.7 supports 197K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark and MiniMax M2.7?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark and MiniMax M2.7?

Muse Spark is developed by Meta and MiniMax M2.7 is developed by MiniMax.

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