Llama 4 Scout vs Muse Ember
Muse Ember leads the LLM Stats Score 45.9 to 7.2. Llama 4 Scout is 1.5x cheaper per token.
Meta · Meta · Updated for 2026
Which is better?
Muse Ember leads the overall LLM Stats Score 45.9 to 7.2, ranking #47 overall.
On price, Llama 4 Scout is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 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 Llama 4 Scout
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you need open weights you can self-host or fine-tune
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 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
12 reported for Llama 4 Scout · 6 for Muse Ember
Llama 4 Scout 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, Llama 4 Scout ($0.08/1M tokens) is 1.3x cheaper than Muse Ember ($0.10/1M tokens).
For output processing, Llama 4 Scout ($0.30/1M tokens) is 1.7x cheaper than Muse Ember ($0.50/1M tokens).
In conclusion, Muse Ember is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Muse Ember's 1,048,576 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Muse Ember is limited to 524,288 tokens.
Input capabilities
Documented input modalities across available providers
Both Llama 4 Scout and Muse Ember support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 4 Scout
Muse Ember
License
Usage and distribution terms
Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Muse Ember uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 4 Scout was released on 2025-04-05, while Muse Ember was released on 2026-11-09.
Muse Ember is 19 months newer than Llama 4 Scout.
Apr 5, 2025
1.6 years ago
Nov 9, 2026
3 days ago
1.6yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Muse Ember is available from Meta Model API.
Llama 4 Scout
Muse Ember
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Scout and Muse Ember side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Scout vs Muse Ember.