GPT-4.1 mini vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.4 to 14.3. Muse Spark 1.3 is 5.6x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 14.3, ranking #5 overall.
On price, Muse Spark 1.3 is roughly 5.6x 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 GPT-4.1 mini
- you want predictable pricing at $0.40/M input and $1.60/M output
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 5.6x 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
28 reported for GPT-4.1 mini · 11 for Muse Spark 1.3
GPT-4.1 mini and Muse Spark 1.3don'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, GPT-4.1 mini ($0.40/1M tokens) is 4.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, GPT-4.1 mini ($1.60/1M tokens) is 8.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, GPT-4.1 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 GPT-4.1 mini's 1,047,576 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while GPT-4.1 mini is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4.1 mini and Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 mini
Muse Spark 1.3
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
GPT-4.1 mini was released on 2025-04-14, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 17 months newer than GPT-4.1 mini.
Apr 14, 2025
1.4 years ago
Sep 2, 2026
0 days ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Muse Spark 1.3's cutoff date is not specified.
We can confirm GPT-4.1 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
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Provider Availability
GPT-4.1 mini is available from OpenAI. Muse Spark 1.3 is available from Meta Model API.
GPT-4.1 mini
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 mini and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 mini vs Muse Spark 1.3.