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MiniMax M2 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 26.9. MiniMax M2 is 3.8x cheaper per token.

MiniMax · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.3 to 26.9, ranking #6 overall.

On price, MiniMax M2 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 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 M2

  • cost matters — it's about 3.8x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • 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.

MiniMax M2
MiniMax
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
26.9
#146
54.3
#6
Reasoning
26.5
#146
51.8
#7
Coding
18.0
#113
41.8
#10
Agents
9.4
#124
40.1
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$1.25 / M
Output price
$1.20 / M
$4.25 / M
Context window
1,000,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniMax M2
Muse Spark 1.3
Tool use
10.0#128
33.7#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiniMax M2 · 11 for Muse Spark 1.3

No common benchmarks found

MiniMax M2 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

MiniMax M2 costs less

For input processing, MiniMax M2 ($0.30/1M tokens) is 4.2x cheaper than Muse Spark 1.3 ($1.25/1M tokens).

For output processing, MiniMax M2 ($1.20/1M tokens) is 3.5x cheaper than Muse Spark 1.3 ($4.25/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than MiniMax M2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Meta
Muse Spark 1.3
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to MiniMax M2's 1,000,000 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Muse Spark 1.3 is limited to 943,718 tokens.

MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 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 M2 does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M2

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M2 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 M2

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

MiniMax M2 was released on 2025-10-27, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 10 months newer than MiniMax M2.

MiniMax M2

Oct 27, 2025

10 months ago

Muse Spark 1.3

Sep 2, 2026

2 weeks ago

10mo 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

Provider Availability

MiniMax M2 is available from MiniMax, Novita. Muse Spark 1.3 is available from Meta Model API.

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against MiniMax M2 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

MiniMax M2
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about MiniMax M2 vs Muse Spark 1.3.

Which is better, MiniMax M2 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.3 to 26.9. MiniMax M2 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 M2 compare to Muse Spark 1.3 in benchmarks?

MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%. 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%.

Is MiniMax M2 cheaper than Muse Spark 1.3?

MiniMax M2 is 4.2x cheaper for input tokens. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax. Muse Spark 1.3 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for MiniMax M2 and Muse Spark 1.3?

MiniMax M2 supports 1.0M 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 M2 and Muse Spark 1.3?

Key differences include LLM Stats Score (26.9 vs 54.3), context window (1.0M vs 1.0M), input pricing ($0.30 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2 and Muse Spark 1.3?

MiniMax M2 is developed by MiniMax and Muse Spark 1.3 is developed by Meta.

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