Skip to the page

Gemini 4 Argon vs GPT-6.1 Sol

Gemini 4 Argon and GPT-6.1 Sol charge the same per token: $2 per million tokens read and $10 per million written. The bill can still differ, because the same text can be a different number of tokens on each. Below are both price lists, 8 everyday jobs priced on each, and the count for one text.

For the same tokens
The same price, $2 in and $10 out
Cheaper to read
Neither, both $2
Cheaper to write
Neither, both $10
Scores higher
Neither, 165 and 166 are within the range of doubt
Larger window
Not listed for Gemini 4 Argon

Price per million tokens, side by side

In US dollars, as each maker prints them. The better figure in each row is green.

Gemini 4 ArgonGoogleGPT-6.1 SolOpenAI
InputTokens the model reads$2$2
Cached inputRead again from the cache$0.10$0.10
Cache writePutting text in the cacheNot listed$2.50
OutputTokens it writes, thinking included$10$10
Blend 3:13 tokens read for each 1 written$4$4
Batch inputAnswers collected laterNot listed$1
Batch outputNot listed$5
Long prompt inputAbove 272K on GPT-6.1 Sol$2$4
Long prompt outputThe standard price where there is no long-prompt price$10$15
Context windowTokens it holds at onceNot listed1.05M
Capability scoreEpoch Capabilities Index; GPT-5 is 150165166
Longest answerTokens it writes in 1 replyNot listed128K

Read before you choose

  • Gemini 4 Argon: Until 30 November 2026. From 1 December 2026 it is $4 in, $20 out and $0.20 cached.

The same text, counted by each maker

A price per token means little until you know how many tokens your text is. Here is our lesson How AI writes, about 1,700 words of English, counted the way each maker counts it, and what it costs to send it once.

  • Gemini 4 Argon

    about 2,200 tokens

    Sent once: 0.44 cents at $2 per million

    Google does not publish the Gemini tokenizer. Its rule is that a token is about 4 characters, so the count is the characters divided by 4.

  • GPT-6.1 Sol

    about 2,100 tokens

    Sent once: 0.41 cents at $2 per million

    GPT-5.6 is counted with o200k_base, the tokenizer OpenAI publishes for it, so its count is exact. OpenAI has not published the tokenizer of GPT-6, so its count is the same o200k_base figure, marked as about.

What 8 everyday jobs cost a month on each

Each job at its usual number of runs a day, for 30 days, at the standard price. The cheaper of the 2 is green; open any job in the calculator to change it. Sizes are in tokens, and Gemini 4 Argon can need up to 1.1 times as many as GPT-6.1 Sol for the same words, so its bill for the same work can be up to that much higher.

JobGemini 4 ArgonGPT-6.1 SolDifference
A chat question300 in, 500 out, 100 a day$16.800.56 cents a run$16.800.56 cents a runThe same
A hard question, with thinking300 in, 1,400 out, 100 a day$43.801.5 cents a run$43.801.5 cents a runThe same
A long report, summarised60,000 in, 2,000 out, 20 a day$84.0014 cents a run$84.0014 cents a runThe same
A 40-turn agent task2,800,000 in, 40,000 out, 10 a day$364$1.21 a run$364$1.21 a runThe same
A support bot's reply4,000 in, 300 out, 2,000 a day$4320.72 cents a run$4320.72 cents a runThe same
Sort a message into a category250 in, 5 out, 50,000 a day$8250.055 cents a run$8250.055 cents a runThe same
Read an invoice into fields1,500 in, 250 out, 1,000 a day$1650.55 cents a run$1650.55 cents a runThe same
Review a pull request25,000 in, 4,500 out, 50 a day$1439.5 cents a run$1439.5 cents a runThe same

Your own job on both

Start from a job, then set its size, how often it runs and whether the answers can wait. Both bills follow every change.

Start from a job

A short question and a few paragraphs back.

tokens

about 230 words

0%

Instructions or documents the model has read before cost far less the second time.

tokens

about 380 words

A month of this job

  • Gemini 4 Argon$16.80

    0.56 cents a run

  • GPT-6.1 Sol$16.80

    0.56 cents a run

The 2 cost the same for this job, counted in tokens.

This job on every model

Why the price per token is only the start

Every maker prints 2 main prices: one for the tokens a model reads (input) and one for the tokens it writes (output). On most current models writing costs 3 to 5 times as much as reading, so which model is cheaper can depend on the job. A job that reads a long document and writes a line pays mostly the input price; a chat that writes paragraphs pays mostly the output price. That is why each comparison prices 8 jobs and not one figure.

The same text is not the same number of tokens on every model. Each maker cuts text its own way, and Anthropic says its models from Claude 4.7 on produce about 30 percent more tokens for the same text than earlier ones. A model with the lower price per token can still send the larger bill, so each comparison counts one of our lessons the way both makers count it.

Discounts change the order too. Work that can wait costs half on a batch at the makers that offer one, and text read again from a cache costs a quarter of the input price or less on every current model here. The price table on each comparison shows who offers what.

Thinking is billed as output, and models differ in how much they think and how long they answer. A price list cannot show that. Before you switch, run the same 10 tasks on both models and compare the bills.

Questions

Which is cheaper, Gemini 4 Argon or GPT-6.1 Sol?
Per token, neither: both charge $2 per million tokens read and $10 per million written. The same text can still be a different number of tokens on each, so the bills can differ.
Which is better, Gemini 4 Argon or GPT-6.1 Sol?
They cannot be told apart on the Epoch Capabilities Index, an independent score from Epoch AI that combines over 50 benchmarks: Gemini 4 Argon scores 165 and GPT-6.1 Sol 166, within the range of doubt around each (GPT-5 is 150). So choose on price and on 10 tasks of your own.
What does an AI agent task cost on Gemini 4 Argon and GPT-6.1 Sol?
One 40-turn task that reads 2,800,000 tokens in all, 90 percent of them from cache, and writes 40,000, costs $1.21 on Gemini 4 Argon and $1.21 on GPT-6.1 Sol. At 10 tasks a day that is $364 and $364 a month.
Does the same text take the same number of tokens on Gemini 4 Argon and GPT-6.1 Sol?
No. Our lesson "How AI writes", 1,700 words long, is about 2,200 tokens on Gemini 4 Argon and about 2,100 on GPT-6.1 Sol. Each maker cuts text its own way, and every extra token is paid for at the model's price.
Can I pay less on Gemini 4 Argon and GPT-6.1 Sol for work that can wait?
On GPT-6.1 Sol only: with a batch, where you collect the answers later, it costs $1 per million tokens read and $5 written. Google's price page lists no batch price for Gemini 4 Argon.

Sources

Where each fact comes from

  1. 1Google: API prices
  2. 2OpenAI: API prices
  3. 3How Google models count tokens
  4. 4How OpenAI models count tokens, source 1
  5. 5How OpenAI models count tokens, source 2
  6. 6Epoch Capabilities Index, by Epoch AI (CC BY 4.0)