Skip to content
CountMyToken

Comparison

Gemini 4 Argon vs GPT-6.1 Sol

Until 30 November 2026, Argon’s standard price is $2 per million input tokens and $10 per million output tokens, the same headline as Sol. From 1 December 2026 Google’s page lists $4 and $20. This site switches to that later price automatically on the date, and the “prices last checked” line stays on the day the page was read. Sol’s cache read is $0.10 on a short prompt. Argon’s cache read doubles with the December price, from $0.10 to $0.20. Argon is not on Google’s free tier.

For 1,000 input tokens, 400 output tokens, and 50 requests a day, in US dollars: Gemini 4 Argon is the cheapest of these, at $9.00 a month.

Gemini 4 Argon · GPT-6.1 Sol

Monthly cost

Gemini 4 Argon is the cheapest of these, at $9.00 a month.

A month is 30 days. Prices last checked 23 October 2026.

The link stores these numbers. It does not store pasted text.

$9.00 a month

$0.006 for one request, and $0.30 a day at 50 requests a day.

Show the maths
  • New input: 1,000 tokens × $2.00 per million = $0.002
  • Output: 400 tokens × $10.00 per million = $0.004
  • 1,500 requests a month × $0.006 = $9.00
  • Caching half the input would save about $1.43 a month

    That uses the published cache-read price of $0.10 per million tokens. It assumes half of these input tokens are already in a cache. Writing the cache can cost extra, and that write price is not included.

  • Batch processing would save about $4.50 a month

    Google lists the Batch API as a 50% cost reduction. Batch jobs are slower, and they suit work that can wait.

  • A reply half as long would save about $3.00 a month

    Output tokens are often the expensive part. Asking for a shorter answer cuts that cost directly.

$9.00 a month

$0.006 for one request, and $0.30 a day at 50 requests a day.

Show the maths
  • New input: 1,000 tokens × $2.00 per million = $0.002
  • Output: 400 tokens × $10.00 per million = $0.004
  • 1,500 requests a month × $0.006 = $9.00
  • Caching half the input would save about $1.43 a month

    That uses the published cache-read price of $0.10 per million tokens. It assumes half of these input tokens are already in a cache. Writing the cache can cost extra, and that write price is not included.

  • Batch processing would save about $4.50 a month

    OpenAI's batch table lists half the standard input and output price for this model. Batch jobs are slower, and they suit work that can wait.

  • GPT-4.1 would cost about $1.20 less a month

    It is a cheaper model in the same broad class on this price list. It is still a different model, and the replies will not match.

  • A reply half as long would save about $3.00 a month

    Output tokens are often the expensive part. Asking for a shorter answer cuts that cost directly.

Tell me when prices change

We’ll email a confirmation link. After you confirm, we write when a listed price changes, and for that purpose only. You can remove the address here.

Cached prices here are read prices. Writing a cache can cost extra, and that write price is on the provider’s page, not in this total. A US-only endpoint is 1.1× at some providers and is not included. Fast modes are not included.