Muse Spark Open vs o1
Muse Spark Open leads the LLM Stats Score 44.9 to 20.6. Muse Spark Open is 13.1x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 20.6, ranking #43 overall.
In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark Open is roughly 13.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open 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 Open
- overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 13.1x 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 Oct 2026
- you need open weights you can self-host or fine-tune
Choose o1
- you want predictable pricing at $15.00/M input and $60.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 19 for o1
Muse Spark Open outperforms in 1 benchmarks (GPQA), while o1 is better at 0 benchmarks.
Muse Spark Open significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark Open ($1.25/1M tokens) is 12.0x cheaper than o1 ($15.00/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 14.1x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than Muse Spark Open.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to o1's 200,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while o1 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas o1 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark Open
o1
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while o1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while o1 was released on 2024-12-17.
Muse Spark Open is 22 months newer than o1.
Oct 15, 2026
2 days ago
1.8yr newerDec 17, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Muse Spark Open is available from Together. o1 is available from Azure, OpenAI.
Muse Spark Open
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs o1.