Model detail
o3-pro
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 better answers. Note that BYOK is required for this model. Set up here: https://openrouter.ai/settings/integrations
Model specs
- Context length
- 200K
- Max output
- 100K
- I/O modalities
- Text / Image
- Released
- 2025-06
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/responsesPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$20.0000 /1M Tokens
Completion
$80.0000 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Complex multi-step reasoning with deep thinking
Use o3-pro for the hardest reasoning tasks across math, science, coding, and analysis. It allocates extra compute to think longer and produce more reliable answers. Note that BYOK is required.
What should you check before using it?
Set up BYOK and plan for higher latency
This model requires Bring Your Own Key (BYOK). Expect longer response times due to extended reasoning. Test representative workloads to confirm latency and cost fit your use case.
Why use it through MixRoute?
Use the compatible endpoint with stable model ID
Use the confirmed compatible endpoint with model ID o3-pro through MixRoute, then run the same integration tests used for the current client.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
This model has no cache-read price; caching is not counted
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FAQ
o3-pro is OpenAI’s top reasoning model in the o-series. It is trained with reinforcement learning to think before answering, using more compute to produce consistently better results on complex reasoning tasks across math, science, and coding.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.