GPT-4.1 nano vs Muse Wonder
Muse Wonder leads the LLM Stats Score 47.9 to 1.6. GPT-4.1 nano is 45.7x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to 1.6, ranking #29 overall.
On price, GPT-4.1 nano is roughly 45.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Wonder 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 nano
- cost matters — it's about 45.7x cheaper per token
Choose Muse Wonder
- overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-4.1 nano · 16 for Muse Wonder
GPT-4.1 nano and Muse Wonderdon'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 nano ($0.10/1M tokens) is 40.0x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 50.0x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder 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 Wonder accepts 1,048,576 input tokens compared to GPT-4.1 nano's 1,047,576 tokens. Only GPT-4.1 nano specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-4.1 nano and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
Muse Wonder
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 Wonder was released on 2026-10-12.
Muse Wonder is 18 months newer than GPT-4.1 nano.
Apr 14, 2025
1.5 years ago
Oct 12, 2026
-1 days ago
1.5yr newerKnowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Muse Wonder'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 Wonder's cutoff date.
May 2024
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Provider Availability
GPT-4.1 nano is available from OpenAI. Muse Wonder is available from Meta Model API.
GPT-4.1 nano
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs Muse Wonder.