OpenAI: GPT-4 Turbo
Analysis Summary
GPT-4 Turbo is an older GPT-4 generation model with a 128K context window, vision, tool use, and function calling. Its supplied reasoning index is 7.7 and coding index is 21.5, with additional results for knowledge, coding, and scientific coding tasks. Pricing is $10 per million input tokens and $30 per million output tokens.
The combination of long context and multimodal API features remains useful for document review, image-aware content workflows, and structured tool calls. Its coding and reasoning capability is not competitive with current flagship systems, while output pricing is high for volume use. It is best retained for compatibility-sensitive applications or carefully scoped client tasks, not selected as the default for a new agency stack.
Assessed August 9, 2026
Editorial notes
GPT-4 Turbo combines a 128K context window, vision, tools, and function calling with stronger measured capability than smaller legacy models, but its high price and dated benchmark profile limit new adoption.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4 Turbo combines a 128K context window, vision, tools, and function calling with stronger measured capability than smaller legacy models, but its high price and dated benchmark profile limit new adoption.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
7.7 Intelligence Index·21.5 Coding Index
How OpenAI: GPT-4 Turbo compares
OpenAI: GPT-4 Turbo ranks #320 of 432 AI models we track for overall intelligence, #139 of 205 for coding. Its 128K-token context window is larger than 36% of the models we list. At $10.00 per million input tokens it is cheaper than 4% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $10.00 | $0.010000 |
| Output | $30.00 | $0.030000 |
What would OpenAI: GPT-4 Turbo cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4 Turbo for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4 Turbo
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.
Frequently asked questions about OpenAI: GPT-4 Turbo
How much does OpenAI: GPT-4 Turbo cost?
OpenAI: GPT-4 Turbo costs $10.00 per million input tokens and $30.00 per million output tokens.
What is the context window of OpenAI: GPT-4 Turbo?
OpenAI: GPT-4 Turbo has a context window of 128,000 tokens (128K).
Is OpenAI: GPT-4 Turbo good for coding?
On our coding benchmark index, OpenAI: GPT-4 Turbo ranks #139 of 205 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4 Turbo do?
OpenAI: GPT-4 Turbo supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4 Turbo?
OpenAI: GPT-4 Turbo is developed by OpenAI and was released on April 9, 2024.