Analysis Summary
GPT-4 Turbo is an earlier OpenAI flagship with a 128K context window, vision support, tool use, and function calling. Its benchmark profile reflects a capable but now mid-tier model: MMLU-Pro at 0.694 and LiveCodeBench at 0.291 are functional but trail the current generation by a wide margin.
For businesses, it remains usable for document analysis, content drafting, and structured output tasks where the full GPT-4o family is overkill or unavailable. However, at $10 input and $30 output per million tokens, it is one of the most expensive options in its capability bracket, and newer models deliver more for less.
Teams already integrated with OpenAI's API may encounter it in legacy pipelines, but new deployments should default to GPT-4o or later variants for better performance at lower cost.
Assessed July 10, 2026
Editorial notes
GPT-4 Turbo from OpenAI offers vision, tool use, and function calling with a 128K context window, but its intelligence benchmarks are well below current flagship models and pricing is steep at $10/$30 per million tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4 Turbo from OpenAI offers vision, tool use, and function calling with a 128K context window, but its intelligence benchmarks are well below current flagship models and pricing is steep at $10/$30 per million tokens.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
7.9 Intelligence IndexĀ·21.5 Coding Index
How OpenAI: GPT-4 Turbo compares
OpenAI: GPT-4 Turbo ranks #277 of 393 AI models we track for overall intelligence, #95 of 157 for coding. Its 128K-token context window is larger than 41% of the models we list. At $10.00 per million input tokens it is cheaper than 4% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. 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 āPricing
| 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā 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.
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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 #95 of 157 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 10:00 am