GPT-4 Turbo

Chat model by OpenAI.

Generally available GPT-4 Turbo with Vision snapshot supporting structured JSON, parallel tool calling, and multimodal inputs.

Models / GPT-4 TurboID: openai/gpt-4-turbo-2024-04-09

Maker

OpenAI

Served On: OpenAI

This model is deprecated

GPT-4 Turbo has been deprecated. It is still served on nRouter and can still be called.

Caller Notice: To help identify integrations still relying on this model, all API responses now include x-nr-model-deprecated: true and Warning: 299 - "Model deprecated" headers.

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.

Context window

—

Max output

—

Modality

chat

Vision
Function calling
System prompt

Benchmarks

LMSYS Chatbot Arena (text)Rank #279 · Score 1272
Source: huggingface.co · Leaderboard: 2026-10-152026-10-15

Pricing

Rates are read live

Pricing for gpt-4-turbo-2024-04-09 is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How GPT-4 Turbo is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from OpenAI

Start building with gpt-4-turbo-2024-04-09

One API key, three steps. Choose your tool to begin.

  1. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"
  2. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · openai/gpt-4-turbo-2024-04-09
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with openai/gpt-4-turbo-2024-04-09
claude --model openai/gpt-4-turbo-2024-04-09

FAQs

What is GPT-4 Turbo?

Generally available GPT-4 Turbo with Vision snapshot supporting structured JSON, parallel tool calling, and multimodal inputs.

How much does GPT-4 Turbo cost?

GPT-4 Turbo is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

Does GPT-4 Turbo support tool calling and structured outputs?

Yes. GPT-4 Turbo supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.

What inputs and outputs does GPT-4 Turbo support?

GPT-4 Turbo takes text and images as input and returns text as output.

How do I use GPT-4 Turbo via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "openai/gpt-4-turbo-2024-04-09". The quick-start panel above has a copy-paste curl command for this model.

When was GPT-4 Turbo released?

GPT-4 Turbo was released on April 9, 2024.

Where is the GPT-4 Turbo documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other text models does OpenAI have?

Other OpenAI text models on nRouter include GPT-OSS 120B 1 (nrouter.ai/models/gpt-oss-120b-1), GPT-6.1 Sol (nrouter.ai/models/gpt-6.1-sol), GPT-5.2 Pro (nrouter.ai/models/gpt-5.2-pro-2025-12-11), GPT Audio 1.5 (nrouter.ai/models/gpt-audio-1.5).