Model Comparison
GPT-4.1 nano vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. GPT-4.1 nano is 11.4x cheaper per token.
Verdict: GPT-4.1 nano vs Muse Spark 1.1 — which is better?
GPT-4.1 nano (by OpenAI) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4.1 nano outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (CharXiv-R). Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, GPT-4.1 nano is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4.1 nano if…
- cost matters — it's about 11.4x cheaper per token
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4.1 nano outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (CharXiv-R).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.1 nano ($0.10/1M tokens) is 12.5x cheaper than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 10.6x cheaper than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to GPT-4.1 nano's 1,047,576 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-4.1 nano and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
Muse Spark 1.1
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 nano was released on 2025-04-14, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 15 months newer than GPT-4.1 nano.
Apr 14, 2025
1.3 years ago
Jul 9, 2026
1 weeks ago
1.2yr newerKnowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Muse Spark 1.1's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.
May 2024
—
Provider Availability
GPT-4.1 nano is available from OpenAI. Muse Spark 1.1 is available from Meta Model API.
GPT-4.1 nano
Muse Spark 1.1
Outputs Comparison
Key Takeaways
GPT-4.1 nano
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-4.1 nano and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
| Feature |
|---|
FAQ
Common questions about GPT-4.1 nano vs Muse Spark 1.1.