Llama 4 Maverick vs Muse Wonder
Muse Wonder leads the LLM Stats Score 47.9 to 14.7. Llama 4 Maverick is 28.8x cheaper per token.
Meta · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to 14.7, ranking #29 overall.
On price, Llama 4 Maverick is roughly 28.8x 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 Llama 4 Maverick
- cost matters — it's about 28.8x cheaper per token
- you need open weights you can self-host or fine-tune
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
13 reported for Llama 4 Maverick · 16 for Muse Wonder
Llama 4 Maverick 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, Llama 4 Maverick ($0.17/1M tokens) is 23.5x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, Llama 4 Maverick ($0.60/1M tokens) is 33.3x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder is more expensive than Llama 4 Maverick.*
* 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 Llama 4 Maverick's 1,000,000 tokens. Only Llama 4 Maverick specifies output context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Llama 4 Maverick and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 4 Maverick
Muse Wonder
License
Usage and distribution terms
Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Muse Wonder 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 Maverick was released on 2025-04-05, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 19 months newer than Llama 4 Maverick.
Apr 5, 2025
1.5 years ago
Oct 12, 2026
5 days ago
1.5yr 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 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Muse Wonder is available from Meta Model API.
Llama 4 Maverick
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Maverick and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Maverick vs Muse Wonder.