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MAI-Thinking-1 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 32.9.

Microsoft · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 32.9, ranking #5 overall.

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

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 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.

MAI-Thinking-1
Microsoft
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
32.9
#95
55.3
#5
Reasoning
33.7
#87
52.8
#7
Coding
19.3
#100
41.7
#10
Agents
12.4
#94
40.4
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
MAI-Thinking-1
Muse Spark 1.3
Tool use
10.2#121
35.5#2
Long context
20.4#26
31.7#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for MAI-Thinking-1 · 11 for Muse Spark 1.3

No common benchmarks found

MAI-Thinking-1 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).

Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas MAI-Thinking-1 does not.

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

MAI-Thinking-1

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

MAI-Thinking-1

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 3 months newer than MAI-Thinking-1.

MAI-Thinking-1

Jun 2, 2026

3 months ago

Muse Spark 1.3

Sep 2, 2026

3 days ago

3mo 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 MAI-Thinking-1 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

MAI-Thinking-1
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about MAI-Thinking-1 vs Muse Spark 1.3.

Which is better, MAI-Thinking-1 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 32.9. MAI-Thinking-1 is made by Microsoft 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 MAI-Thinking-1 compare to Muse Spark 1.3 in benchmarks?

MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%. 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%.

What are the context window sizes for MAI-Thinking-1 and Muse Spark 1.3?

MAI-Thinking-1 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 MAI-Thinking-1 and Muse Spark 1.3?

Key differences include LLM Stats Score (32.9 vs 55.3), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes MAI-Thinking-1 and Muse Spark 1.3?

MAI-Thinking-1 is developed by Microsoft and Muse Spark 1.3 is developed by Meta.

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