o3 Pro
by OpenAI · openai/o3-pro · #318 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5Gemini 3.6 Flash
Pricing
Input
$20.00
per 1M tokens
Output
$80.00
per 1M tokens
Blended (3:1)
$35.00
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for o3 Pro (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $35.00 | $2.12 | — |
| 50% | $35.00 | $2.12 | −0% |
| 90% | $35.00 | $2.12 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates for this provider’s batch API. Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.034 | $34.00 |
| Document summary | 8,000 | 1,000 | $0.24 | $240.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.76 | $760.00 |
| Long-context analysis | 150,000 | 5,000 | $3.40 | $3,400 |
Performance
Intelligence Index
32.5
AA composite quality
Coding Index
—
Math Index
—
Agentic Index
—
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 84.5% |
Specs
Context window
200K
tokens
Max output
100K
tokens
Input modalities
text, file, image
Tokenizer
GPT