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

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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

google logo

Gemini 4 Argon

Released October 13, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

google logoGemini 4 Argon52.6
meta logoMuse WonderNot available

Coding index

google logoGemini 4 ArgonNot available
meta logoMuse WonderNot available

Agentic index

google logoGemini 4 ArgonNot available
meta logoMuse WonderNot available

Pricing

Gemini 4 Argon vs Muse Wonder API pricing

Per-token API rates. Cheaper option highlighted.

Metricgoogle logoGemini 4 Argonmeta logoMuse Wonder
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$0.19Not 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

google logoGemini 4 Argon$9
meta logoMuse Wonder$18

Coding task

30K in, 4K out

google logoGemini 4 Argon$100$43 cached
meta logoMuse Wonder$200$86 cached

Long document summary

150K in, 2K out

google logoGemini 4 Argon$320$35 cached
meta logoMuse Wonder$640$70 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricgoogle logoGemini 4 Argonmeta logoMuse Wonder
Context window1.05M tokens1.05M tokens
Max output944K tokens944K tokens
Input typesAudio, File, Image, Text, VideoAudio, File, Image, Text, Video
Output typesTextText
Reasoning effort levelsHigh, Medium, LowMax, Extra high, High, Medium, Low, Minimal
Default reasoning effortMediumMedium
Release dateOctober 13, 2026October 12, 2026

Features

Supported features

API features available for each model.

Metricgoogle logoGemini 4 Argonmeta logoMuse Wonder
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedNot supported
Deterministic seedSupportedNot supported
Verbosity controlNot supportedNot 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.

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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.