Muse Spark 1.3 vs o3-mini
Muse Spark 1.3 leads the LLM Stats Score 55.4 to 21.6. 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 55.4 to 21.6, 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 55.4 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 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
11 reported for Muse Spark 1.3 · 25 for o3-mini
Muse Spark 1.3 and o3-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 o3-mini ($1.10/1M tokens).
For output processing, Muse Spark 1.3 ($0.20/1M tokens) is 22.0x cheaper than o3-mini ($4.40/1M tokens).
In conclusion, o3-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 o3-mini's 200,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while o3-mini is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas o3-mini 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
o3-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 o3-mini was released on 2025-01-30.
Muse Spark 1.3 is 19 months newer than o3-mini.
Sep 2, 2026
0 days ago
1.6yr newerJan 30, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while Muse Spark 1.3'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 1.3's cutoff date.
—
Sep 2023
Provider Availability
Muse Spark 1.3 is available from Meta Model API. o3-mini is available from Azure, OpenAI.
Muse Spark 1.3
o3-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and o3-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs o3-mini.