Pricing comparison
o3 vs Claude Opus 4.7
Per-token pricing, full-workload cost ladders, and monthly volume projections. Numbers sourced directly from each provider's rate card.
OpenAI
o3
- Input
- $2.00 / 1M
- Output
- $8.00 / 1M
- Cached input
- $0.500 / 1M
- Context
- 200K
- Max output
- 100K
Anthropic
Claude Opus 4.7
- Input
- $5.00 / 1M
- Output
- $25.00 / 1M
- Cached input
- -
- Context
- 1M
- Max output
- 128K
Cost per request
Four common workload shapes, input tokens and a 1:2 output ratio (a standard chat/completion pattern). Long-context surcharges apply automatically where the provider charges them.
| Scenario | Tokens (in / out) | o3 | Claude Opus 4.7 | Winner |
|---|---|---|---|---|
| Short prompt | 100 / 200 | $0.0018 | $0.0063 | o3 |
| Typical request | 1,000 / 2,000 | $0.0180 | $0.0633 | o3 |
| Long document | 10,000 / 5,000 | $0.0600 | $0.2012 | o3 |
| Large prompt | 100,000 / 10,000 | $0.2800 | $0.8625 | o3 |
Monthly bill at scale
Projected monthly cost at typical request volume, assuming the "typical request" shape above (1k in, 2k out).
| Traffic | Req / month | o3 | Claude Opus 4.7 | Delta |
|---|---|---|---|---|
| Small SaaS | 1,000 | $18.00 | $63.25 | o3 -$45.25 |
| Growing product | 10,000 | $180.00 | $632.50 | o3 -$452.50 |
| Heavy usage | 100,000 | $1,800 | $6,325 | o3 -$4,525 |
Which should you use?
For the typical chat-shape request (~1k input, 2k output), o3 comes out 251% cheaper. If you're picking one as the default, that's usually the right choice on cost alone.
o3 wins on both sides of the bill - cheaper input and cheaper output. If the quality gap is in your favour, there's no cost argument for the other side.
Context window differs: Claude Opus 4.7 holds 1M of input vs 200K on the other side. If you regularly push past the smaller ceiling, the comparison ends there.
Live cost calculator
Type in any token counts - both prices update instantly. Uses base input/output rates (no cache discount, no long-context tier).
o3
$0.0060
per request
Claude Opus 4.7
$0.0201
per request
Try both in the estimator →
Drop your actual prompt in, tokens are counted with the provider's own tokenizer, and the dollar number matches what lands on your invoice.
Frequently asked
- Which is cheaper, o3 or Claude Opus 4.7?
- On a typical 1,000-input / 2,000-output request, o3 costs ~$0.0180 vs ~$0.0633 on Claude Opus 4.7. Input or output rates can flip the answer for very lopsided workloads - see the cost ladder above.
- What's the difference in per-token pricing?
- o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. Claude Opus 4.7 charges $5.00 / $25.00 per 1M.
- Which has the bigger context window?
- Claude Opus 4.7 is larger (1M) vs 200K on the other.
- Is there a cached-input discount on either?
- o3 caches at $0.500 per 1M (75% off). Claude Opus 4.7 does not publish a cached-input rate. Workloads with repeated static prefixes see the biggest savings.
- How fresh is this comparison?
- o3 was re-verified on 2026-04-06 and Claude Opus 4.7 on 2026-04-17 against each provider's published rate card. Calcis re-checks every row on a rolling schedule and re-deploys when a provider changes pricing.
o3 verified 2026-04-06 · Claude Opus 4.7 verified 2026-04-17. Rate cards at OpenAI and Anthropic.