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.
Provider
OpenAI
Model family
OpenAI GPT
LLM
Cost tier
See provider
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.
When not to use this
- Not ideal for sprawling research or brittle multi-hop reasoning unless you constrain scope tightly.
- Avoid for regulated or high-stakes outputs without evaluations that mimic your tooling, data, and review process.
- Promote traffic to heavier tiers inside the family when workflows need richer tools and longer horizons.
Technical specs
- Inputs
- text
- Outputs
- text
- Capabilities
- long context, function calling, json mode
- License
- Proprietary API
- Model string
gpt-4-turbo
Benchmarks
No benchmark data yet.
OpenAI GPT family lineup
Current models