This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.
Providers
This model is hosted by one provider. OpenRouter forwards every request without routing.
| $3.00 | $4.00 | 0.83s | 96 tok/s |
- Input $3.00 / Output $4.0096 tok/s100.00% uptime
Pricing
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.
Weighted average
GPT-3.5 Turbo 16k — Price history
| $3.00 | $4.00 | 9.7% | 100.0% |
- Effective in $3.00 / Effective out $4.00Token share100.0%
Performance
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).
P50, best across providers
P50, best provider
Uptime
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.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
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 provider routing options.
Apps
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.
Activity
Token volume and request traffic to this model over time.
API
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.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.
GPT-3.5 Turbo 16k costs $3.00/M input tokens and $4.00/M output tokens.
GPT-3.5 Turbo 16k has a 16,385 token context window. It supports up to 4,096 completion tokens.
Yes. GPT-3.5 Turbo 16k accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
GPT-3.5 Turbo 16k is served by 1 provider on OpenRouter: Azure.
GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions and 58 more are other text models from OpenAI.
GPT-3.5 Turbo 16k was released on August 28, 2023. Its knowledge cutoff is September 30, 2021.