Muse Spark Open vs o3-mini
Muse Spark Open leads the LLM Stats Score 44.9 to 21.2. o3-mini is 1.0x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 21.2, 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.
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
- 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 o3-mini
- you want predictable pricing at $1.10/M input and $4.40/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 · 25 for o3-mini
Muse Spark Open outperforms in 1 benchmarks (GPQA), while o3-mini 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 1.1x more expensive than o3-mini ($1.10/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 1.0x cheaper than o3-mini ($4.40/1M tokens).
In conclusion, Muse Spark Open is more expensive than o3-mini.*
* 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 o3-mini's 200,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while o3-mini is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas o3-mini 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
o3-mini
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while o3-mini 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 o3-mini was released on 2025-01-30.
Muse Spark Open is 21 months newer than o3-mini.
Oct 15, 2026
4 days ago
1.7yr newerJan 30, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while Muse Spark Open's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Muse Spark Open's cutoff date.
—
Sep 2023
Provider Availability
Muse Spark Open is available from Together. o3-mini is available from Azure, OpenAI.
Muse Spark Open
o3-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and o3-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs o3-mini.