GPT-4 Turbo
GPT-4 Turbo is a widely deployed GPT-4-class chat model with a large context window on the OpenAI API, aimed at long-document workflows, retrieval bundles, and production assistants that do not require GPT-4o’s multimodal stack.
Newer version: GPT-4o
Provider
OpenAI
Model family
OpenAI GPT
LLM
Cost tier
Flagship
Status
Legacy
Release Nov 6, 2023
Why teams choose it
Broad capability envelope
Useful when the same stack must cover chat, multimodal inputs, tooling, or structured-output shapes without juggling many SKUs.
Long-context analysis
Helps teams summarize, compare, and extract insights from long documents without losing important nuance.
Coding and tools
Works well for code assistance, tool calling, and agent workflows where instructions must stay consistent across steps.
Cost-efficient routing
Useful as part of a routing stack where cheap models handle drafts and confirmations and this tier handles genuinely hard passages.
Tradeoffs to know
- No native image input (use GPT-4o for vision).
- Latency and quality differ from GPT-4o—A/B before switching routes.
Technical specs
- Inputs
- text
- Outputs
- text
- Capabilities
- long context, function calling, json mode
- License
- Proprietary API
Benchmarks
No independent or vendor benchmark scores in this catalog entry.
OpenAI GPT family lineup
Current models
Related models
GPT-4 Turbo FAQ
What is GPT-4 Turbo?
GPT-4 Turbo is a widely deployed GPT-4-class chat model with a large context window on the OpenAI API, aimed at long-document workflows, retrieval bundles, and production assistants that do not require GPT-4o’s multimodal stack. It remains a common baseline for cost/quality tradeoffs.
When does GPT-4 Turbo fit best?
Long-context RAG without vision
What should teams watch out for with GPT-4 Turbo?
No native image input (use GPT-4o for vision).
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