o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images.
Modalities
In / Out Price
$2 / $8per 1M
Context
200K
Released
Apr 16, 2025
Knowledge Cutoff
Jun 2024
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images.
o3 costs $2.00/M input tokens and $8.00/M output tokens, with separate rates for Cache Read at $0.50/M tokens and Web Search at $10.00/1K calls.
o3 has a 200,000 token context window. It supports up to 100,000 completion tokens.
Yes. o3 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
o3 accepts images, text and files such as PDFs as input and returns text.
GPT-5.6 Luna Pro, GPT-5.6 Luna, GPT-5.6 Terra Pro and 55 more are other text models from OpenAI.
o3 was released on April 16, 2025. Its knowledge cutoff is June 30, 2024.
| $2.00 | $8.00 | $0.50 | 3.58s | 110 tps |
Throughput
110tok/s
P50, best across providers
Latency
3.58s
P50, best provider
100.00%
99.70%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.
