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Gemini 4 Argon or GPT-6 Sol: which to choose?

Gemini 4 Argon (Google DeepMind) and GPT-6 Sol (OpenAI) compared point by point: measured performance, pricing, context and capabilities.

Data as of October 22, 2026

Side-by-side comparison

CriterionGemini 4 ArgonGPT-6 Sol
DeveloperGoogle DeepMindOpenAI
ReleasedOctober 13, 2026September 22, 2026
Capability index95.3 / 10089.2 / 100
Input price$2$2
Output price$10$10
Cost of a typical task$0.06$0.06
Context window1,048,576 tokens1,050,000 tokens
Maximum output32,768 tokens128,000 tokens
Reasoning modeYesYes
Tool callingYesYes
Accepted inputstext, image, video, audio, PDFtext, image, PDF
Open weightsNoNo
Knowledge cutoffMarch 2026April 20, 2026

The match-up at a glance

This comparison pits two frontier models, the ones you pick when quality comes first against each other: Gemini 4 Argon and GPT-6 Sol, one from Google DeepMind, the other from OpenAI. The first dates from October 13, 2026, the second from September 22, 2026.

All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.

Which one is more capable?

On our capability index, Gemini 4 Argon scores 95.3 out of 100 and GPT-6 Sol 89.2. Gemini 4 Argon leads by 6.1 points.

On the 5 benchmarks reported for both, Gemini 4 Argon wins 2 times and GPT-6 Sol 2:

  • GPQA Diamond (PhD-level science questions): Gemini 4 Argon 96.4%, GPT-6 Sol 94.3%
  • OTIS Mock AIME (competition mathematics problems): Gemini 4 Argon 100%, GPT-6 Sol 100%
  • FrontierMath (very hard research-level mathematics): Gemini 4 Argon 86%, GPT-6 Sol 89.8%
  • FrontierCode (advanced programming tasks): Gemini 4 Argon 47.6%, GPT-6 Sol 49.3%
  • APEX-Agents (professional tasks carried out by an agent): Gemini 4 Argon 82.4%, GPT-6 Sol 54.3%

Budget

Gemini 4 Argon costs $2 per million input tokens and $10 per million output tokens; GPT-6 Sol costs $2 and $10.

For a typical agent task (read 20,000 tokens, write 2,000), expect $0.06 with Gemini 4 Argon versus $0.06 with GPT-6 Sol. The cost is almost the same.

Run the numbers with your own volumes in the agent cost calculator.

Context and capabilities

GPT-6 Sol reads more in one go: 1,050,000 tokens of context (roughly 1,575 pages), versus 1,048,576 for Gemini 4 Argon.

Reasoning mode: Gemini 4 Argon yes, GPT-6 Sol yes. Tool calling: Gemini 4 Argon yes, GPT-6 Sol yes. Image input: Gemini 4 Argon yes, GPT-6 Sol yes.

Neither publishes its weights: both are used through an API.

Knowledge cutoff: March 2026 for Gemini 4 Argon, April 20, 2026 for GPT-6 Sol.

In short

Our reading of the data:

  • Choose Gemini 4 Argon for a higher capability index.

This verdict relies on public figures; it does not replace a trial on your own tasks.

Other comparisons

Frequently asked questions

Gemini 4 Argon or GPT-6 Sol: which is better?

On our index (Epoch AI data), Gemini 4 Argon scores 95.3 and GPT-6 Sol 89.2 out of 100. The best choice also depends on price and on your use case.

Which one is cheaper?

Gemini 4 Argon. To read 20,000 tokens and write 2,000, expect $0.06 with Gemini 4 Argon and $0.06 with GPT-6 Sol (prices as of October 22, 2026).

Which one has the larger context window?

GPT-6 Sol, with 1,050,000 tokens versus 1,048,576.

Can I run Gemini 4 Argon or GPT-6 Sol on my own servers?

No: both are closed models, available through an API.

Data sources

Data as of October 22, 2026

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