GPT-4.1 nano vs Muse Ember
Muse Ember leads the LLM Stats Score 45.9 to 0.9. GPT-4.1 nano is 1.1x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Muse Ember leads the overall LLM Stats Score 45.9 to 0.9, ranking #47 overall.
On price, GPT-4.1 nano is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Ember 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 1.1x cheaper per token
Choose Muse Ember
- overall performance matters — it scores 45.9 and ranks #47 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 Nov 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 · 6 for Muse Ember
GPT-4.1 nano and Muse Emberdon'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) costs the same as Muse Ember ($0.10/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 1.3x cheaper than Muse Ember ($0.50/1M tokens).
In conclusion, Muse Ember 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 Ember accepts 1,048,576 input tokens compared to GPT-4.1 nano's 1,047,576 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4.1 nano and Muse Ember support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
Muse Ember
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 Ember was released on 2026-11-09.
Muse Ember is 19 months newer than GPT-4.1 nano.
Apr 14, 2025
1.6 years ago
Nov 9, 2026
3 days ago
1.6yr newerKnowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Muse Ember'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 Ember's cutoff date.
May 2024
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Provider Availability
GPT-4.1 nano is available from OpenAI. Muse Ember is available from Meta Model API.
GPT-4.1 nano
Muse Ember
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and Muse Ember side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs Muse Ember.