Cursor’s launch post leads with $0.50 per million input tokens and $2.50 per million output. Most of your developers will be billed $1.50 and $7.50. That’s Cursor Composer 2 pricing in two sentences, and the threefold gap is the first thing to settle before anyone calls this model a bargain.
Key points
- What does Cursor Composer 2 pricing look like on an invoice? Two rates, and you’ll mostly pay the higher one.
- How much cheaper is it than GPT-5.4? On list prices, about half for the default tier.
- At what retry rate does the saving disappear? Take one coding task that uses 200,000 input tokens and 20,000 output tokens.
- What does a team of ten actually save? Scale the same task up, again with our assumptions.
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. Most developers never open the settings, so the number they’re billed on is the fast one.
That isn’t a trick, since the page states it plainly. A product that sells speed will default to speed. It does mean the fair comparison is fast tier against fast tier, or standard against standard, and 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. OpenAI lists GPT-5.4 at $2.50 in and $15 out. Composer 2’s fast tier is 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.
Cursor’s own tests show Composer 2 scoring 61.3 on its CursorBench, up from 44.2 for the previous version. Those are Cursor’s numbers on Cursor’s test, and the launch post doesn’t compare the model with Anthropic’s or OpenAI’s. 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 by that much may need more attempts per job, and attempts are where the saving goes.
A 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, and until one appears the sticker price is a starting point for measuring, not an answer.
At what retry rate does the saving disappear?
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 that every vendor offers in some form. On list prices the same task costs this much.
- 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.
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.
Now price 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 line. That’s the same gap between headline and invoice we found in our look at Sonnet 4.6 pricing, and image models set the same trap, as our piece on Nano Banana 2 pricing explains. Our test-first read of GPT-5.4 computer use shows how to run a small trial before you trust a vendor score.
A fair counter is that teams tolerate retries when the first draft arrives fast, and a model that’s good enough at a fifth of the price wins on volume. For bulk, low-risk work such as tests, scaffolding and boilerplate, that holds, because 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. Our claim is narrower. Nobody should assume the saving before measuring it.
There’s a sensible split hiding in the arithmetic. The standard tier’s break-even of 5.3 attempts makes it a fair fit for the low-risk bulk work above, where a wrong first try is cheap. Keep whichever model shows the lowest retry rate in your own week of tracking for the jobs where a developer’s time is the expensive part. Route by task, and the headline price starts to matter for the right reasons. Ask your account contact, too, whether the team can set the default tier centrally. If each developer picks, you’ll get a mix, and a mixed bill is hard to forecast and harder to explain to finance in the quarter you review it.
What does a team of ten actually save?
Scale the same task up, again with our assumptions. Ten developers run 20 tasks each per working day, 20 days a month, so 4,000 tasks. At $0.80 a task on GPT-5.4 that’s $3,200 a month. On Composer 2’s fast tier at $0.45 it’s $1,800, and on the standard tier at $0.15 it’s $600.
The headline saving against GPT-5.4 is $1,400 a month on the fast tier and $2,600 on the standard one.
Now add one minute of extra review or rework per task, which is a small ask of a model that trails on the coding benchmark above. At $60 an hour, 4,000 minutes is about 67 hours and $4,000. That’s nearly three times the fast-tier saving. Put differently, the fast-tier saving of $0.35 a task is worth about 21 seconds of a developer’s time at $60 an hour. If the cheaper model costs a developer more than that, the invoice goes up and the model line goes down, and finance only sees the second one.
The second-order effect is on the budget conversation. A tool that looks cheap per token invites broader use, and broader use at a higher fast-tier rate can grow the bill faster than the discount shrinks it. Cap usage by team before you celebrate the rate.
What is under the model?
Cursor’s post doesn’t name the model underneath Composer 2. That matters to any buyer who checks where a model comes from, a theme in our piece on Anthropic’s distillation case. If the base model or its licence changed, the price you’ve budgeted could change with it.
The seat price changed as well, so check Cursor pricing after the change in seller.
Ask the vendor what it’s built on and under what licence before you standardize on it. Then run one week of tracked tasks on the default tier, count retries and review minutes, and divide the total by finished jobs. Move the team only if that number beats GPT-5.4’s by more than your assumptions about caching and task size could erase.
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?
No, not on list price alone. Measure cost per finished task, including retries and review time, for one week before you move.
We have not tested Composer 2. Archive entry dated March 20, 2026, written and fact-checked on October 8, 2026. Sources are linked on the claims they support.
