Which is cheaper, GPT-6 Luna or Qwen3.8-Max?

GPT-6 Luna is cheaper: $0.10 per million tokens read and $0.50 per million written, against $2 and $6 on Qwen3.8-Max. On a mix of 3 tokens read for each 1 written, Qwen3.8-Max costs 15 times as much.

Which is better, GPT-6 Luna or Qwen3.8-Max?

They cannot be told apart on the Epoch Capabilities Index, an independent score from Epoch AI that combines over 50 benchmarks: GPT-6 Luna scores 156 and Qwen3.8-Max 157, within the range of doubt around each (GPT-5 is 150). So choose on price and on 10 tasks of your own.

What does a support bot cost a month on GPT-6 Luna 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 $22.20 a month on GPT-6 Luna and $378 on Qwen3.8-Max: Qwen3.8-Max costs 17 times as much for this job.

What does an AI agent task cost on GPT-6 Luna 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 7.3 cents on GPT-6 Luna and $1.43 on Qwen3.8-Max. At 10 tasks a day that is $21.96 and $429 a month.

Does the same text take the same number of tokens on GPT-6 Luna and Qwen3.8-Max?

No. Our lesson "How AI writes", 1,700 words long, is about 2,100 tokens on GPT-6 Luna 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 GPT-6 Luna and Qwen3.8-Max for work that can wait?

On GPT-6 Luna only: with a batch, where you collect the answers later, it costs $0.05 per million tokens read and $0.25 written. Alibaba's price page lists no batch price for Qwen3.8-Max.

GPT-6 Luna vs Qwen3.8-Max

GPT-6 Luna is the cheaper of the 2: for the same tokens, 3 read for each 1 written, Qwen3.8-Max costs 15 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.

Price your own job Compare 2 other models

For the same tokens: GPT-6 Luna is cheaper; Qwen3.8-Max costs 15 times as much
Cheaper to read: GPT-6 Luna, $0.10 against $2
Cheaper to write: GPT-6 Luna, $0.50 against $6
Scores higher: Neither, 156 and 157 are within the range of doubt
Larger window: Not listed for 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.

	GPT-6 LunaOpenAI	Qwen3.8-MaxAlibaba
InputTokens the model reads	$0.10	$2
Cached inputRead again from the cache	$0.01	$0.25
Cache writePutting text in the cache	$0.125	Not listed
OutputTokens it writes, thinking included	$0.50	$6
Blend 3:13 tokens read for each 1 written	$0.20	$3
Batch inputAnswers collected later	$0.05	Not listed
Batch output	$0.25	Not listed
Long prompt inputAbove 272K on GPT-6 Luna	$0.20	$2
Long prompt outputThe standard price where there is no long-prompt price	$0.75	$6
Context windowTokens it holds at once	1.05M	Not listed
Capability scoreEpoch Capabilities Index; GPT-5 is 150	156	157
Longest answerTokens it writes in 1 reply	128K	Not listed

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.

GPT-6 Luna
about 2,100 tokens
Sent once: 0.021 cents at $0.10 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.
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.

Job	GPT-6 Luna	Qwen3.8-Max	Difference
A chat question300 in, 500 out, 100 a day	84 cents0.028 cents a run	$10.800.36 cents a run	13 times
A hard question, with thinking300 in, 1,400 out, 100 a day	$2.190.073 cents a run	$27.000.9 cents a run	12 times
A long report, summarised60,000 in, 2,000 out, 20 a day	$4.200.7 cents a run	$79.2013 cents a run	19 times
A 40-turn agent task2,800,000 in, 40,000 out, 10 a day	$21.967.3 cents a run	$429$1.43 a run	20 times
A support bot's reply4,000 in, 300 out, 2,000 a day	$22.200.037 cents a run	$3780.63 cents a run	17 times
Sort a message into a category250 in, 5 out, 50,000 a day	$41.250.0028 cents a run	$7950.053 cents a run	19 times
Read an invoice into fields1,500 in, 250 out, 1,000 a day	$8.250.027 cents a run	$1350.45 cents a run	16 times
Review a pull request25,000 in, 4,500 out, 50 a day	$7.130.48 cents a run	$1167.7 cents a run	16 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.

Read in 1 run

tokens

about 230 words

Read again from cache

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

Written in 1 run, thinking included

tokens

about 380 words

Runs a day

A month of this job

GPT-6 Luna84 cents
0.028 cents a run
Qwen3.8-Max$10.80
0.36 cents a run

GPT-6 Luna saves $9.96 a month; Qwen3.8-Max costs 13 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, GPT-6 Luna or Qwen3.8-Max?: GPT-6 Luna is cheaper: $0.10 per million tokens read and $0.50 per million written, against $2 and $6 on Qwen3.8-Max. On a mix of 3 tokens read for each 1 written, Qwen3.8-Max costs 15 times as much.
Which is better, GPT-6 Luna or Qwen3.8-Max?: They cannot be told apart on the Epoch Capabilities Index, an independent score from Epoch AI that combines over 50 benchmarks: GPT-6 Luna scores 156 and Qwen3.8-Max 157, within the range of doubt around each (GPT-5 is 150). So choose on price and on 10 tasks of your own.
What does a support bot cost a month on GPT-6 Luna 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 $22.20 a month on GPT-6 Luna and $378 on Qwen3.8-Max: Qwen3.8-Max costs 17 times as much for this job.
What does an AI agent task cost on GPT-6 Luna 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 7.3 cents on GPT-6 Luna and $1.43 on Qwen3.8-Max. At 10 tasks a day that is $21.96 and $429 a month.
Does the same text take the same number of tokens on GPT-6 Luna and Qwen3.8-Max?: No. Our lesson "How AI writes", 1,700 words long, is about 2,100 tokens on GPT-6 Luna 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 GPT-6 Luna and Qwen3.8-Max for work that can wait?: On GPT-6 Luna only: with a batch, where you collect the answers later, it costs $0.05 per million tokens read and $0.25 written. Alibaba's price page lists no batch price for Qwen3.8-Max.

Sources