Model Comparison

Muse Spark 1.1 vs MiniMax M2.7Which is better in 2026?

Muse Spark 1.1 significantly outperforms across most benchmarks.

Verdict: Muse Spark 1.1 vs MiniMax M2.7 — which is better?

Muse Spark 1.1 (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 1.1 outperforms in 3 benchmarks (Finance Agent v2, SWE-Bench Pro, Toolathlon), while MiniMax M2.7 is better at 0 benchmarks. Muse Spark 1.1 significantly outperforms across most benchmarks.

Choose Muse Spark 1.1 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose MiniMax M2.7 if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Muse Spark 1.1 outperforms in 3 benchmarks (Finance Agent v2, SWE-Bench Pro, Toolathlon), while MiniMax M2.7 is better at 0 benchmarks.

Muse Spark 1.1 significantly outperforms across most 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 1.1
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 1.1 supports multimodal inputs, whereas MiniMax M2.7 does not.

Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Spark 1.1

Text
Images
Audio
Video

MiniMax M2.7

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.1 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 1.1

Proprietary

Closed source

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while MiniMax M2.7 was released on 2026-03-18.

Muse Spark 1.1 is 4 months newer than MiniMax M2.7.

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

3mo 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 Finance Agent v2 score (57.2% vs 27.9%)
Higher SWE-Bench Pro score (61.5% vs 56.2%)
Higher Toolathlon score (75.6% vs 46.3%)
MiniMax
Larger context window (196,608 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Muse Spark 1.1 and MiniMax M2.7 side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
MiniMax M2.7
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark 1.1
MiniMax
MiniMax M2.7

FAQ

Common questions about Muse Spark 1.1 vs MiniMax M2.7.

Which is better, Muse Spark 1.1 or MiniMax M2.7?

Muse Spark 1.1 significantly outperforms across most benchmarks. Muse Spark 1.1 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 1.1 compare to MiniMax M2.7 in benchmarks?

Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%. 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 1.1 and MiniMax M2.7?

Muse Spark 1.1 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 1.1 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 1.1 and MiniMax M2.7?

Muse Spark 1.1 is developed by Meta and MiniMax M2.7 is developed by MiniMax.

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