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.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | GPT-4 Turbo Coding Index | 21.5 |
| Artificial Analysis | GPT-4 Turbo HLE | 3.1% |
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.
| $10.00 | $30.00 | 1.19s | 21 tps |
Throughput
21tok/s
P50, best across providers
Latency
1.19s
P50, best provider
100.00%
99.50%
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.
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
GPT-4 Turbo costs $10.00/M input tokens and $30.00/M output tokens.
GPT-4 Turbo has a 128,000 token context window. It supports up to 4,096 completion tokens.
Yes. GPT-4 Turbo accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
GPT-4 Turbo accepts text and images as input and returns text.
GPT-6 Astra, GPT-6 Astra Pro, GPT-5.6 Luna Pro and 55 more are other text models from OpenAI.
GPT-4 Turbo was released on April 9, 2024. Its knowledge cutoff is December 31, 2023.
