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Muse Spark 1.3 vs o1-pro

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 20.0.

Meta · OpenAI · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 20.0, ranking #5 overall.

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

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose o1-pro

  • you are already invested in the OpenAI ecosystem

At a glance

The differences that matter most.

Core performance indexes
55.4
#5
20.0
#188
53.0
#6
20.3
#177
Cost, coverage & limits
Benchmark wins
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
1,048,576

Individual benchmarks

11 reported for Muse Spark 1.3 · 2 for o1-pro

No common benchmarks found

Muse Spark 1.3 and o1-prodon'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).

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.3 and o1-pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Muse Spark 1.3

Text
Images
Audio
Video

o1-pro

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.

Muse Spark 1.3

Proprietary

Closed source

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while o1-pro was released on 2024-12-17.

Muse Spark 1.3 is 21 months newer than o1-pro.

Muse Spark 1.3

Sep 2, 2026

0 days ago

1.7yr newer
o1-pro

Dec 17, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while Muse Spark 1.3's cutoff date is not specified.

We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.

Muse Spark 1.3

o1-pro

Sep 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Muse Spark 1.3 and o1-pro side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
o1-pro
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs o1-pro.

Which is better, Muse Spark 1.3 or o1-pro?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 20.0. Muse Spark 1.3 is made by Meta and o1-pro is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Spark 1.3 compare to o1-pro in benchmarks?

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%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for Muse Spark 1.3 and o1-pro?

Muse Spark 1.3 supports 1.0M tokens and o1-pro supports an unknown number of 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 1.3 and o1-pro?

Key differences include LLM Stats Score (55.4 vs 20.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and o1-pro?

Muse Spark 1.3 is developed by Meta and o1-pro is developed by OpenAI.