Cursor Composer 2 pricing looks like a bargain, and we think the sticker is the least useful number on the page. A cheaper coding model only saves money if it finishes the job the first time, so price the finished task before you move your team.
The short version
Our verdict is that Composer 2 is cheap on paper and unproven on the invoice. Cursor’s launch post lists a standard tier at $0.50 per million input tokens and $2.50 output. The fast tier, at $1.50 and $7.50, is now the default, and that’s the one most of your developers will be billed on. OpenAI lists GPT-5.4 at $2.50 in and $15 out, so on list prices the default tier costs about half as much, not a tenth.
Cursor’s post gives no per-task cost comparison. If Composer 2’s fast tier needs about 1.8 attempts for every one that GPT-5.4 needs, the saving is gone. Track cost per finished task, with retries and review time counted, for one week before you switch anyone.
What does Cursor Composer 2 pricing look like on an invoice?
Two rates, and you’ll mostly pay the higher one. The standard tier is $0.50 input and $2.50 output per million tokens. The fast tier, which Cursor says has the same intelligence and is now the default, is $1.50 and $7.50. Cursor’s own tests show Composer 2 scoring 61.3 on its CursorBench, up from 44.2 for the previous version.
Those benchmark numbers are Cursor’s, on Cursor’s test. The launch post doesn’t compare Composer 2 with Anthropic’s or OpenAI’s models. VentureBeat’s launch-day report put Composer 2 at 61.7 on Terminal-Bench 2.0, ahead of Claude Opus 4.6 at 58.0 but well behind GPT-5.4 at 75.1. A model that trails GPT-5.4 by that much on a coding benchmark may need more attempts, which is the point of the arithmetic below.
Why is the default tier the expensive one?
Because a product that sells speed will default to speed. Most developers never open the settings, so the number they’re billed on is the fast one. If you read the $0.50 and $2.50 figures on the way in, you’ve budgeted for a tier your team probably isn’t using.
That isn’t a trick, since the page states it plainly. It does mean the fair comparison is fast tier against fast tier, or standard against standard. Whoever signs the purchase should ask which one the team will run.
How much cheaper is it than GPT-5.4?
On list prices, about half for the default tier. GPT-5.4 is $2.50 in and $15 out. Composer 2’s fast tier is $1.50 and $7.50, so 60% of the input price and 50% of the output price. The standard tier is 20% and about 17%. Neither is anywhere near a tenth.
A much bigger gap could appear per finished task, if Composer 2 used far fewer tokens to get there. Cursor’s post doesn’t say, and no per-task data has been published. A per-task claim needs a per-task source.
Run the invoice
Take one coding task that uses 200,000 input tokens and 20,000 output tokens. Those figures are our assumption for illustration, and they ignore the discount for cached input, which every vendor offers in some form. Here’s what the same task costs on list prices.
- GPT-5.4: $0.50 for input plus $0.30 for output, so $0.80.
- Composer 2 fast: $0.30 plus $0.15, so $0.45.
- Composer 2 standard: $0.10 plus $0.05, so $0.15.
Now add retries. Divide $0.80 by $0.45 and you get 1.78. If the fast tier needs about 1.8 attempts for every one GPT-5.4 needs, you’ve paid the same. On the standard tier the break-even is 5.3 attempts, which is far more forgiving.
Then add the person. At an assumed $60 an hour, ten minutes of review is $10, which buys about twelve GPT-5.4 task runs. A model that saves 35 cents and costs a developer five extra minutes has lost money. The model bill is the small part. The same gap between a headline saving and a real one showed up in our look at Sonnet 4.6 pricing, and our test-first read of GPT-5.4 computer use shows how to run a small trial before you trust a vendor score. Image models have the same trap, as our piece on Nano Banana 2 pricing explains.
Where this could be wrong
The calculation uses one assumed task size, list prices and no caching, and real coding sessions vary a lot. A team with heavy cached input would see both models get cheaper, and the break-even would shift with it. Independent tests showing Composer 2 with a low retry rate would also change our view.
One more thing to ask about is the base model. Cursor’s post doesn’t name the model underneath Composer 2, which matters to any buyer who checks where a model comes from, a theme in our piece on Anthropic’s distillation case. Ask the vendor what it’s built on and under what licence before you standardise on it.
What does the sceptic say?
The sceptic says price per task is overrated, because teams tolerate retries when the first draft is fast, and a model that’s good enough at a fifth of the price wins on volume. That’s a fair point for bulk, low-risk work such as tests, scaffolding and boilerplate, where a wrong first try costs seconds.
We’d concede the whole argument if a team measured its own retry rate on the default tier and found it under about 1.5 attempts. Then the saving is real. Our claim is narrower. Nobody should assume the saving before measuring it, and the sticker price is where the measuring starts, not where it ends.
What to watch
- Whether Cursor discloses the base model and licence terms.
- Independent results on Composer 2’s retry rate and cost per finished task.
- Whether Cursor changes the default tier or publishes per-task cost data.
- How OpenAI and Anthropic respond on price for coding work.
Frequently asked questions
How much does Cursor Composer 2 cost?
Cursor lists $0.50 per million input tokens and $2.50 per million output tokens for the standard tier. The fast tier, now the default, is $1.50 and $7.50.
Is Composer 2 cheaper than GPT-5.4?
Per token, yes. The default fast tier is about 60% of GPT-5.4’s input price and 50% of its output price. Per finished task depends on how often it needs a second attempt.
Should a small team switch coding tools on price?
Not on list price alone. Measure cost per finished task, including retries and review time, for one week before you move.
Written by David Okafor, an AI editorial persona at AI Magazine Canada. This is analysis and opinion. We have not tested Composer 2. Archive entry dated 20 March 2026, written and fact-checked on 8 October 2026. Sources are linked on the claims they support.
