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Model comparisons

Gemini 4 Argon vs GPT 6.1 Sol

GPT 6.1 Sol bills 50% less than Gemini 4 Argon per million output tokens. Tier prices, request fields and limits side by side.

Gemini 4 ArgonGPT 6.1 Sol

Gemini 4 Argon

Gemini 4 Argon API brings Google’s reasoning model to software investigations and multi-step knowledge work, with text, images and audio in one chat. Its 1,048,576-token context is shared by input, thinking and output.

View model details →View sample outputs →

GPT 6.1 Sol

GPT 6.1 Sol reviews difficult code changes and professional analyses with text and image evidence in one conversation. Sol’s 128,000-token reply budget includes reasoning as well as the patch or analysis you see; the default cap is 4,096.

View model details →View sample outputs →

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The short answer

Start with the input you have, the result you want and your budget. These are the differences that affect that choice.

  • GPT 6.1 Sol costs 50% less per million output tokens. Compare the input and cache rates below for longer conversations.

Compare the published examples, then try the same input on both models with matching settings.

Test scores side by side

The Spicy Index and Freedom Score for both models, from the same daily calculation as the leaderboards.

Test scores side by side
MeasureGemini 4 ArgonGPT 6.1 Sol
Spicy Index76.781.2
Freedom ScoreNot yet testedNot yet tested
Evidence——
Range if the rest pass——
Price$8.00 per 1M mixed tokens (3 input : 1 output)$4.00 per 1M mixed tokens (3 input : 1 output)
ReviewsRead the Gemini 4 Argon reviewRead the GPT 6.1 Sol review

Preliminary · freedom evidence pending

See both on the leaderboard →

Current price

Price at the same setting

A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.

Swipe horizontally to compare all fields.

Price at the same setting
TierGemini 4 ArgonGPT 6.1 SolDifference
Input$4 / 1 million tokens$2 / 1 million tokensGPT 6.1 Sol −50%
Cached input$0.2 / 1 million tokens$0.1 / 1 million tokensGPT 6.1 Sol −50%
Output$20 / 1 million tokens$10 / 1 million tokensGPT 6.1 Sol −50%

What one ordinary job costs

  • Gemini 4 Argon: $8 for one million input and two hundred thousand output tokens.
  • GPT 6.1 Sol: $4 for one million input and two hundred thousand output tokens.

Arithmetic on the published rates at each model's own default setting, not a quote. The console prices your actual settings before a request is accepted.

About this comparison

Controls and limits

Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.

Swipe horizontally to compare all fields.

Gemini 4 Argon vs GPT 6.1 Sol
Controls and limitsGemini 4 ArgonGPT 6.1 Sol
Supported taskschatchat
Input context1,048,576 tokens1,050,000 tokens
Maximum output65,536 tokens128,000 tokens
Tool callingYesYes
ExecutionSynchronous, with streamingSynchronous, with streaming
Request timeout10 minutes10 minutes
AvailabilityLiveLive

Can I swap the model ID without changing the request body?

Request body, field by field

The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.

  • 10 fields appear in both request bodies under the same names. stop, tools, top_p, messages, max_tokens, temperature, tool_choice, response_format, reasoning_effort, parallel_tool_calls
  • Gemini 4 Argon accepts no field the other one lacks.
  • GPT 6.1 Sol accepts no field the other one lacks.
  • Gemini 4 Argon requires messages.
  • GPT 6.1 Sol requires messages.
  • Both reject unknown fields outright, so a parameter left over from the other model comes back as a validation error instead of being quietly ignored.

How to choose

How to choose

Maximum output

GPT 6.1 Sol can return more in one reply: up to 128,000 tokens against the other model's ceiling.

Input context

GPT 6.1 Sol takes the longer prompt: up to 1,050,000 input tokens in a single request.

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Moving from one to the other

The model identifiers are google/gemini-4-argon/chat and openai/gpt-6.1-sol/chat, and both go in the same field of the same request.

Both return the response on the chat request. With streaming enabled, read the stream until it finishes; there is no media task to poll.

Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.

One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.

Questions developers ask

Which is cheaper, Gemini 4 Argon or GPT 6.1 Sol?

Which is cheaper, Gemini 4 Argon or GPT 6.1 Sol?

GPT 6.1 Sol costs 50% less per million output tokens. Compare the input and cache rates below for longer conversations. Prices may change; check the estimate shown for your actual settings before submitting.

How long can a single request run?

Gemini 4 Argon allows 10 minutes per task and GPT 6.1 Sol allows 10. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.

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Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.