OpenAI o3
FrontierLast verified: June 2026· OpenAI OpenAI o3 pricing
Reasoning-optimized model. Reasoning tokens are billed as output — confirm current pricing with OpenAI.
- Input / 1M
- $2.00
- Output / 1M
- $8.00
- Context
- 200K tokens
- Provider
- OpenAI
Pricing verified June 2026. Prices change frequently. Always confirm against the provider’s official pricing page before relying on these figures for budgeting. Official pricing →
What OpenAI o3 is best for
Hard reasoning, math, and coding where a dedicated reasoning model helps.
Use it for the hardest reasoning, long-horizon agentic work, and routes where output quality is load-bearing. Avoid it for high-volume, low-stakes calls like classification or extraction — those belong on a cheaper tier.
When to choose OpenAI o3
A dedicated reasoning model — pick o3 over GPT-4.1 only for genuinely hard math, logic, or multi-step problems where the extra reasoning tokens earn their cost. For everyday tasks it is slower and pricier than it needs to be.
OpenAI o3 cost by volume
Estimated monthly cost at three realistic volumes, at $2.00 input / $8.00 output per million tokens.
| Scenario | Input / mo | Output / mo | Est. cost / mo |
|---|---|---|---|
| Prototype | 2M | 0.5M | $8 |
| Growing product | 50M | 10M | $180 |
| At scale | 500M | 100M | $1,800 |
Plug in your own numbers with the cost calculator.
Cutting your OpenAI o3 bill
The headline price isn’t the lever — usage pattern is. The reductions come from routing low-stakes calls to a cheaper tier, caching stable prefixes, batching non-urgent work, and gating it all behind evals so quality holds. The full method — the same one that takes 30–60% out without regressions — is the LLM cost optimization playbook.
Context window: 200K tokens
OpenAI o3’s context window bounds how much it can consider at once — system prompt, history, retrieved docs, and the response all draw from those 200K tokens. A larger window enables whole-codebase reasoning and long documents, but using more of it costs more per request — so retrieval and caching still matter even when the window is large.
Cheaper alternatives to OpenAI o3
By blended cost (3:1 input:output). The right swap depends on whether quality holds on your routes — always validate with evals.
Frequently asked questions
How much does OpenAI o3 cost?
OpenAI o3 costs $2.00 per million input tokens and $8.00 per million output tokens. A workload of 50M input and 10M output tokens per month would cost about $180. Confirm current pricing with the provider.
What is OpenAI o3's context window?
OpenAI o3 has a 200K-token context window. Reasoning-optimized model. Reasoning tokens are billed as output — confirm current pricing with OpenAI.
Is OpenAI o3 the right model for my workload?
Hard reasoning, math, and coding where a dedicated reasoning model helps. The cheapest correct model is workload-specific — route low-stakes calls to a cheaper tier and reserve OpenAI o3 for work where its strengths matter, validated by evals.