Muse Spark 1.3 vs o4-mini
Muse Spark 1.3 leads the LLM Stats Score 55.3 to 27.7. Muse Spark 1.3 is 15.4x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 27.7, ranking #5 overall.
On price, Muse Spark 1.3 is roughly 15.4x 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 55.3 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 15.4x 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 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
11 reported for Muse Spark 1.3 · 14 for o4-mini
Muse Spark 1.3 and o4-minidon'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
For input processing, Muse Spark 1.3 ($0.10/1M tokens) is 11.0x cheaper than o4-mini ($1.10/1M tokens).
For output processing, Muse Spark 1.3 ($0.20/1M tokens) is 22.0x cheaper than o4-mini ($4.40/1M tokens).
In conclusion, o4-mini is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to o4-mini's 200,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while o4-mini is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark 1.3 and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.3
o4-mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark 1.3 was released on 2026-09-02, while o4-mini was released on 2025-04-16.
Muse Spark 1.3 is 17 months newer than o4-mini.
Sep 2, 2026
3 days ago
1.4yr newerApr 16, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
o4-mini has a documented knowledge cutoff of 2024-05-31, while Muse Spark 1.3'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 1.3's cutoff date.
—
May 2024
Provider Availability
Muse Spark 1.3 is available from Meta Model API. o4-mini is available from OpenAI.
Muse Spark 1.3
o4-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and o4-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs o4-mini.