Gemma 4 26B-A4B vs Muse Wonder
Muse Wonder leads the LLM Stats Score 47.9 to 29.5. Gemma 4 26B-A4B is 58.2x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to 29.5, ranking #29 overall.
On price, Gemma 4 26B-A4B is roughly 58.2x 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 Gemma 4 26B-A4B
- cost matters — it's about 58.2x 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 agents — 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
12 reported for Gemma 4 26B-A4B · 16 for Muse Wonder
Gemma 4 26B-A4B 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, Gemma 4 26B-A4B ($0.07/1M tokens) is 57.1x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, Gemma 4 26B-A4B ($0.34/1M tokens) is 58.8x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder is more expensive than Gemma 4 26B-A4B.*
* 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 Gemma 4 26B-A4B's 262,144 tokens. Only Gemma 4 26B-A4B specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemma 4 26B-A4B and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 26B-A4B
Muse Wonder
License
Usage and distribution terms
Gemma 4 26B-A4B is licensed under Apache 2.0, while Muse Wonder uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 26B-A4B was released on 2026-04-02, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 6 months newer than Gemma 4 26B-A4B.
Apr 2, 2026
6 months ago
Oct 12, 2026
5 days ago
6mo newerKnowledge Cutoff
When training data ends
Gemma 4 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Muse Wonder's cutoff date is not specified.
We can confirm Gemma 4 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Muse Wonder's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 26B-A4B is available from DeepInfra, Novita. Muse Wonder is available from Meta Model API.
Gemma 4 26B-A4B
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 26B-A4B and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 26B-A4B vs Muse Wonder.