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Gemini 4 Argon vs GPT-6 Sol

Google's newest flagship against OpenAI's mid tier, priced identically at $2 in and $10 out: the closest cross-lab like-for-like in the catalogue, and a decision price cannot settle.

Figures as of , read live from the model registry Zeplik bills against.

What the numbers say

Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.

Side by side

Gemini 4 Argon

Google

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.

Provider
Google
Context window
1.0M tokens
Input price
24.0 credits / 1M tokens ($2.00 raw)
Output price
120 credits / 1M tokens ($10.00 raw)
Vision (image input)
Yes
Tool calling
Yes
Extended reasoning
No

Best for

  • High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
  • Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
  • Working with images: screenshots, charts, photos and scanned documents alongside text
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

GPT-6 Sol

OpenAI

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier.

Provider
OpenAI
Context window
1.1M tokens
Input price
24.0 credits / 1M tokens ($2.00 raw)
Output price
120 credits / 1M tokens ($10.00 raw)
Vision (image input)
Yes
Tool calling
Yes
Extended reasoning
No

Best for

  • Hard problems where answer quality matters more than cost: strategy, analysis, difficult writing
  • Very long documents and codebases: a 1.1M-token window fits entire books or repositories in one conversation
  • Working with images: screenshots, charts, photos and scanned documents alongside text
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

Try both on Zeplik

The honest answer to most model debates is to run your own prompt on both. Zeplik puts Gemini 4 Argon and GPT-6 Sol in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.

Pick a model and ask. Your prompt opens in the Zeplik app with that model selected.

Model to ask

Frequently asked questions

What is the difference between Gemini 4 Argon and GPT-6 Sol?
Output pricing is close: 120 vs 120 credits per 1M tokens. Gemini 4 Argon is the newer release (October 2026 vs September 2026).
Is Gemini 4 Argon or GPT-6 Sol cheaper?
They cost the same on output tokens: 120 credits per million each. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
Which has the larger context window, Gemini 4 Argon or GPT-6 Sol?
GPT-6 Sol, at 1.1M tokens against 1.0M.
Can I use both Gemini 4 Argon and GPT-6 Sol on Zeplik?
Yes. Zeplik is a multi-model chat, so both sit behind one account and you can switch between them mid-conversation to compare answers on your own prompt.
Do Gemini 4 Argon and GPT-6 Sol need a paid plan?
Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.

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