Gemini 4 Argon (High) vs Muse Wonder (Max)Benchmark Comparison 2026

Objective comparison based on public benchmarks updated weekly: Intelligence Index, Chatbot Arena ELO, pricing and speed.

Overall winner (2026)

Gemini 4 Argon (High)

4 of 5 criteria won

Google

Gemini 4 Argon (High)

Winner

ELO Arena

1517

Intelligence Index

52.6

4 criteria won

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Meta

Muse Wonder (Max)

ELO Arena

1509

Intelligence Index

52.4

1 criterion won

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Detailed Comparison

CritérioGemini 4 Argon (High)Muse Wonder (Max)
Chatbot Arena ELO1517 ✓1509
Intelligence Index (AA)52.6 ✓52.4
Coding Index (AA)——
Input price ($/1M tok)$2.00 ✓$4.00
Output price ($/1M tok)$10.00 ✓$20.00
Context window1.0M tokens1.0M tokens
Speed (tokens/s)79 tok/s208 tok/s ✓

✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly

Technical Specifications

Gemini 4 Argon (High)

Company
Google
Context window
1.0M tokens
Input ($/1M tok)
$2.00
Output ($/1M tok)
$10.00
Speed
79 tok/s
Release
Sep 2026
Multimodal
No
Open Source
No

Muse Wonder (Max)

Company
Meta
Context window
1.0M tokens
Input ($/1M tok)
$4.00
Output ($/1M tok)
$20.00
Speed
208 tok/s
Release
Oct 2026
Multimodal
No
Open Source
No

When to use Gemini 4 Argon (High) vs Muse Wonder (Max)?

Choosing between Gemini 4 Argon (High) and Muse Wonder (Max) depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.

Use Gemini 4 Argon (High) when:

Google · Text

  • →Applications with audio input or output — transcription, call analysis and voice assistants
  • →Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • →AI agents with tool calling — workflow automation, external API integration and data pipelines
  • →API integration in SaaS applications — direct API access with documented SLA
View full Gemini 4 Argon (High) profile →

Use Muse Wonder (Max) when:

Meta · Text

  • →Applications with audio input or output — transcription, call analysis and voice assistants
  • →Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • →AI agents with tool calling — workflow automation, external API integration and data pipelines
  • →API integration in SaaS applications — direct API access with documented SLA
View full Muse Wonder (Max) profile →
SWEN Verdict: Gemini 4 Argon (High) wins in more objective criteria in this comparison (4 vs 1). For most use cases, Gemini 4 Argon (High) offers better aggregate performance — but Muse Wonder (Max) may be preferable if your project prioritizes applications with audio input or output.

Frequently Asked Questions

Gemini 4 Argon (High) or Muse Wonder (Max): which is better?

Gemini 4 Argon (High) wins in 4 of 5 criteria analyzed. Check the full table to choose based on your use case.

Where does this benchmark data come from?

Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.

What is the Intelligence Index?

The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.

Is Gemini 4 Argon (High) cheaper than Muse Wonder (Max)?

Yes. Gemini 4 Argon (High) costs $2/1M input tokens, while Muse Wonder (Max) costs $4/1M tokens — 100% more expensive. For high-volume projects, Gemini 4 Argon (High) represents significant savings. Total cost also depends on output pricing and your application's usage pattern.

Gemini 4 Argon (High) or Muse Wonder (Max): which has a larger context window?

Gemini 4 Argon (High) and Muse Wonder (Max) have the same context window: 1.0M tokens. For this criterion, the choice should be based on other factors like pricing and quality for your specific use case.

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