Muse Spark Open vs o4-mini
Muse Spark Open leads the LLM Stats Score 45.3 to 27.0. o4-mini is 1.0x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 45.3 to 27.0, ranking #42 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 45.3 and ranks #42 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 o4-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 · 14 for o4-mini
Muse Spark Open outperforms in 1 benchmarks (GPQA), while o4-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 o4-mini ($1.10/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 1.0x cheaper than o4-mini ($4.40/1M tokens).
In conclusion, Muse Spark Open is more expensive than o4-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 o4-mini's 200,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while o4-mini is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark Open and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark Open
o4-mini
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while o4-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 o4-mini was released on 2025-04-16.
Muse Spark Open is 18 months newer than o4-mini.
Oct 15, 2026
5 days ago
1.5yr newerApr 16, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
o4-mini has a documented knowledge cutoff of 2024-05-31, while Muse Spark Open's cutoff date is not specified.
We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without Muse Spark Open's cutoff date.
—
May 2024
Provider Availability
Muse Spark Open is available from Together. o4-mini is available from OpenAI.
Muse Spark Open
o4-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and o4-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs o4-mini.