Analysis Summary
GPT-4 Turbo is an earlier OpenAI flagship with text and image input, a 128K context window, tool use, and function calling. Those capabilities support structured generation, visual review, document analysis, and integrations that need predictable API behaviour. The available record contains no benchmark results for this specific batch variant, so capability claims should be treated conservatively.
For client work, it remains suitable for content production, SEO briefs, image-assisted analysis, and workflow automation where the task does not require frontier reasoning. The context window handles substantial documents, while vision broadens its usefulness beyond text-only models. Its main limitation is age relative to newer models and a relatively high listed price of $5 per million input tokens and $15 per million output tokens.
Adopt it when compatibility and multimodal API support matter more than maximum reasoning or lowest cost.
Assessed August 9, 2026
Editorial notes
GPT-4 Turbo combines vision, a 128K context window, function calling, and broad API support for structured content and document workflows. Its pricing and older generation limit its role against newer models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4 Turbo combines vision, a 128K context window, function calling, and broad API support for structured content and document workflows. Its pricing and older generation limit its role against newer models.
How OpenAI: GPT-4 Turbo (batch) compares
Its 128K-token context window is larger than 36% of the models we list. At $5.00 per million input tokens it is cheaper than 7% 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 content. The pulled-in technical 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 | $5.00 | $0.005000 |
| Output | $15.00 | $0.015000 |
What would OpenAI: GPT-4 Turbo (batch) 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 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 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4 Turbo (batch)
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 (batch)
How much does OpenAI: GPT-4 Turbo (batch) cost?
OpenAI: GPT-4 Turbo (batch) costs $5.00 per million input tokens and $15.00 per million output tokens.
What is the context window of OpenAI: GPT-4 Turbo (batch)?
OpenAI: GPT-4 Turbo (batch) has a context window of 128,000 tokens (128K).
What can OpenAI: GPT-4 Turbo (batch) do?
OpenAI: GPT-4 Turbo (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4 Turbo (batch)?
OpenAI: GPT-4 Turbo (batch) 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: September 2, 2026 11:59 am