AI model comparison
Gemini 4 Argon vs Muse Wonder
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.
- Input / 1M
- $4
- Output / 1M
- $20
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Gemini 4 Argon
2x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
Gemini 4 Argon
Released October 13, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Gemini 4 Argon vs Muse Wonder API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $2 | $4 |
| Output tokensPer 1M tokens | $10 | $20 |
| Cached input (read)Per 1M tokens | $0.10 | $0.20 |
| Cache writePer 1M tokens | $0.19 | Not available |
| Web searchPer request | $0.014 | $0.0025 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 944K tokens |
| Input types | Audio, File, Image, Text, Video | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low | Max, Extra high, High, Medium, Low, Minimal |
| Default reasoning effort | Medium | Medium |
| Release date | October 13, 2026 | October 12, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Not supported |
Our take
Gemini 4 Argon is 2x cheaper for a typical chat. The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Gemini 4 Argon or Muse Wonder cheaper?
Gemini 4 Argon is cheaper for a typical chat (2K input tokens and 500 output tokens). Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens, while Muse Wonder costs $4 per 1M input tokens and $20 per 1M output tokens.
Which has a bigger context window, Gemini 4 Argon or Muse Wonder?
Gemini 4 Argon supports up to 1.05M tokens of context, compared with 1.05M for Muse Wonder.
Can I use Gemini 4 Argon and Muse Wonder at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemini 4 Argon and Muse Wonder answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemini 4 Argon and Muse Wonder at the same time. Compare the answers side by side and keep the best one.