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MiniMax M1 40K vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 20.5.

MiniMax · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 20.5, ranking #6 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniMax M1 40K

  • 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 want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

MiniMax M1 40K
MiniMax
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
20.5
#194
54.3
#6
Reasoning
20.7
#183
51.8
#8
Coding
8.1
#183
41.8
#10
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
MiniMax M1 40K
Muse Spark 1.3
Tool use
12.9#100
33.7#4
Long context
24.0#17
31.9#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiniMax M1 40K · 11 for Muse Spark 1.3

No common benchmarks found

MiniMax M1 40K 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

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas MiniMax M1 40K 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 40K

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M1 40K 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.

MiniMax M1 40K

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

MiniMax M1 40K 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 40K.

MiniMax M1 40K

Jun 16, 2025

1.3 years ago

Muse Spark 1.3

Sep 2, 2026

2 weeks ago

1.2yr newer

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→

Judge for yourself.

Run your own prompts against MiniMax M1 40K and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

MiniMax M1 40K
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about MiniMax M1 40K vs Muse Spark 1.3.

Which is better, MiniMax M1 40K or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 20.5. MiniMax M1 40K is made by MiniMax and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiniMax M1 40K compare to Muse Spark 1.3 in benchmarks?

MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for MiniMax M1 40K and Muse Spark 1.3?

MiniMax M1 40K supports an unknown number of tokens and Muse Spark 1.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M1 40K and Muse Spark 1.3?

Key differences include LLM Stats Score (20.5 vs 54.3), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 40K and Muse Spark 1.3?

MiniMax M1 40K is developed by MiniMax and Muse Spark 1.3 is developed by Meta.

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