Gemini 4 Argon vs Muse Wonder
Gemini 4 Argon leads the LLM Stats Score 55.0 to 49.7. Gemini 4 Argon is 2.0x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.0 to 49.7, ranking #4 overall.
In the 3 individual benchmarks reported for both models, Gemini 4 Argon wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 4 Argon is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- overall performance matters — it scores 55.0 and ranks #4 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 2.0x cheaper per token
Choose Muse Wonder
- 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
19 reported for Gemini 4 Argon · 18 for Muse Wonder
Gemini 4 Argon outperforms in 2 benchmarks (Terminal-Bench 4.0, Vals Finance Agent v2), while Muse Wonder is better at 1 benchmark (DeepSWE 1.1).
Gemini 4 Argon shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 4 Argon ($2.00/1M tokens) is 2.0x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 2.0x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder is more expensive than Gemini 4 Argon.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Only Gemini 4 Argon specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
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
Gemini 4 Argon was released on 2026-09-30, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 0 month newer than Gemini 4 Argon.
Sep 30, 2026
2 weeks ago
Oct 12, 2026
1 weeks ago
1w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemini 4 Argon is available from Google. Muse Wonder is available from Meta Model API.
Gemini 4 Argon
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Muse Wonder.