The AI arena is free today

Open Superagent

Muse Spark 1.3 vs o1

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 21.2. Muse Spark 1.3 is 210.0x cheaper per token.

Meta · OpenAI · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 21.2, ranking #5 overall.

On price, Muse Spark 1.3 is roughly 210.0x 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 Muse Spark 1.3

  • overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 210.0x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose o1

  • you want predictable pricing at $15.00/M input and $60.00/M output

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
o1
OpenAI
Core performance indexes
LLM Stats Score
55.4
#5
21.2
#181
Reasoning
53.0
#6
21.5
#170
Coding
41.6
#9
4.8
#196
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$15.00 / M
Output price
$0.20 / M
$60.00 / M
Context window
1,048,576
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Muse Spark 1.3
o1
Tool use
35.4#1
13.0#94
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Muse Spark 1.3 · 19 for o1

No common benchmarks found

Muse Spark 1.3 and o1don'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

Muse Spark 1.3 costs less

For input processing, Muse Spark 1.3 ($0.10/1M tokens) is 150.0x cheaper than o1 ($15.00/1M tokens).

For output processing, Muse Spark 1.3 ($0.20/1M tokens) is 300.0x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than Muse Spark 1.3.*

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

Lowest available price from all providers
Thu Sep 03 2026 • llm-stats.com
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
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 o1's 200,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while o1 is limited to 100,000 tokens.

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas o1 does not.

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

Muse Spark 1.3

Text
Images
Audio
Video

o1

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

Proprietary

Closed source

Release Timeline

When each model was launched

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

Muse Spark 1.3 is 21 months newer than o1.

Muse Spark 1.3

Sep 2, 2026

0 days ago

1.7yr newer
o1

Dec 17, 2024

1.7 years 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

Provider Availability

Muse Spark 1.3 is available from Meta Model API. o1 is available from Azure, OpenAI.

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* 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 Muse Spark 1.3 and o1 side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
o1
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs o1.

Which is better, Muse Spark 1.3 or o1?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 21.2. Muse Spark 1.3 is made by Meta and o1 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 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 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

Is Muse Spark 1.3 cheaper than o1?

Muse Spark 1.3 is 150.0x cheaper for input tokens. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta. o1 costs $15.00/M input and $60.00/M output via azure.

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

Muse Spark 1.3 supports 1.0M tokens and o1 supports 200K 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?

Key differences include LLM Stats Score (55.4 vs 21.2), context window (1.0M vs 200K), input pricing ($0.10 vs $15.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and o1?

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

Related comparisons