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Gemini 4 Argon vs Qwen3.8-Max

Qwen3.8-Max is the cheaper of the 2: for the same tokens, 3 read for each 1 written, Gemini 4 Argon costs 1.3 times as much. Below are both price lists, what 8 everyday jobs cost a month on each, and how many tokens the same text takes on each, which can change the answer.

For the same tokens
Qwen3.8-Max is cheaper; Gemini 4 Argon costs 1.3 times as much
Cheaper to read
Neither, both $2
Cheaper to write
Qwen3.8-Max, $6 against $10
Scores higher
Gemini 4 Argon, 165 against 157
Larger window
Not listed for Gemini 4 Argon or Qwen3.8-Max

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 ArgonGoogleQwen3.8-MaxAlibaba
InputTokens the model reads$2$2
Cached inputRead again from the cache$0.10$0.25
Cache writePutting text in the cacheNot listedNot listed
OutputTokens it writes, thinking included$10$6
Blend 3:13 tokens read for each 1 written$4$3
Batch inputAnswers collected laterNot listedNot listed
Batch outputNot listedNot listed
Context windowTokens it holds at onceNot listedNot listed
Capability scoreEpoch Capabilities Index; GPT-5 is 150165157
Longest answerTokens it writes in 1 replyNot listedNot listed

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.

  • Qwen3.8-Max

    about 2,100 tokens

    Sent once: 0.43 cents at $2 per million

    Counted with the tokenizer Alibaba publishes with its open Qwen3.8 models. Alibaba does not say its API models use the same one, so the count is 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.

JobGemini 4 ArgonQwen3.8-MaxDifference
A chat question300 in, 500 out, 100 a day$16.800.56 cents a run$10.800.36 cents a run1.6 times
A hard question, with thinking300 in, 1,400 out, 100 a day$43.801.5 cents a run$27.000.9 cents a run1.6 times
A long report, summarised60,000 in, 2,000 out, 20 a day$84.0014 cents a run$79.2013 cents a run1.1 times
A 40-turn agent task2,800,000 in, 40,000 out, 10 a day$364$1.21 a run$429$1.43 a run1.2 times
A support bot's reply4,000 in, 300 out, 2,000 a day$4320.72 cents a run$3780.63 cents a run1.1 times
Sort a message into a category250 in, 5 out, 50,000 a day$8250.055 cents a run$7950.053 cents a run1 times
Read an invoice into fields1,500 in, 250 out, 1,000 a day$1650.55 cents a run$1350.45 cents a run1.2 times
Review a pull request25,000 in, 4,500 out, 50 a day$1439.5 cents a run$1167.7 cents a run1.2 times

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

  • Qwen3.8-Max$10.80

    0.36 cents a run

Qwen3.8-Max saves $6.00 a month; Gemini 4 Argon costs 1.6 times as much.

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 Qwen3.8-Max?
Qwen3.8-Max is cheaper: $2 per million tokens read and $6 per million written, against $2 and $10 on Gemini 4 Argon. On a mix of 3 tokens read for each 1 written, Gemini 4 Argon costs 1.3 times as much.
Which is better, Gemini 4 Argon or Qwen3.8-Max?
On the Epoch Capabilities Index, an independent score from Epoch AI that combines over 50 benchmarks, Gemini 4 Argon scores 165 and Qwen3.8-Max 157, above the top of the range of doubt around Qwen3.8-Max's score (GPT-5 is 150). One score is an average; test both on your own work before you switch.
What does a support bot cost a month on Gemini 4 Argon and Qwen3.8-Max?
At 2,000 replies a day, each reading 4,000 tokens (50 percent of them from cache) and writing 300, it costs $432 a month on Gemini 4 Argon and $378 on Qwen3.8-Max: Gemini 4 Argon costs 1.1 times as much for this job.
What does an AI agent task cost on Gemini 4 Argon and Qwen3.8-Max?
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 $1.43 on Qwen3.8-Max. At 10 tasks a day that is $364 and $429 a month.
Does the same text take the same number of tokens on Gemini 4 Argon and Qwen3.8-Max?
No. Our lesson "How AI writes", 1,700 words long, is about 2,200 tokens on Gemini 4 Argon and about 2,100 on Qwen3.8-Max. 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 Qwen3.8-Max for work that can wait?
Not with a batch price: neither maker's price page lists one for these models. A cache still lowers the price of text the model reads again.

Sources

Where each fact comes from

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