Analysis Summary
GPT-4 Turbo (v1106) was OpenAI's first Turbo-class GPT-4 release, supporting a 128K context window along with tool use, function calling, and vision. Its measured intelligence and coding performance are well below current frontier models, reflecting how quickly the field has advanced since its 2023 release.
For business use, it can still handle general reasoning, document summarisation, and basic coding tasks reliably, but it will lag noticeably against newer models on complex reasoning or software engineering work. Its high price relative to its now-modest capability is a further drawback.
This model suits legacy integrations already built around it, but new projects should adopt a newer, better-benchmarked, and typically cheaper alternative.
Assessed July 25, 2026
Editorial notes
An early GPT-4 Turbo release with modest benchmark scores by current standards, vision and tool support, but weak coding and reasoning relative to modern flagships.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
An early GPT-4 Turbo release with modest benchmark scores by current standards, vision and tool support, but weak coding and reasoning relative to modern flagships.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
25.6 Intelligence Index·21.8 Coding Index·34.7 Math Index
How OpenAI: GPT-4 Turbo (older v1106) compares
OpenAI: GPT-4 Turbo (older v1106) ranks #118 of 401 AI models we track for overall intelligence, #111 of 176 for coding. Its 128K-token context window is larger than 38% 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 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 | $10.00 | $0.010000 |
| Output | $30.00 | $0.030000 |
What would OpenAI: GPT-4 Turbo (older v1106) 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 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4 Turbo (older v1106) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4 Turbo (older v1106)
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023.
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Frequently asked questions about OpenAI: GPT-4 Turbo (older v1106)
How much does OpenAI: GPT-4 Turbo (older v1106) cost?
OpenAI: GPT-4 Turbo (older v1106) costs $10.00 per million input tokens and $30.00 per million output tokens.
What is the context window of OpenAI: GPT-4 Turbo (older v1106)?
OpenAI: GPT-4 Turbo (older v1106) has a context window of 128,000 tokens (128K).
Is OpenAI: GPT-4 Turbo (older v1106) good for coding?
On our coding benchmark index, OpenAI: GPT-4 Turbo (older v1106) ranks #111 of 176 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4 Turbo (older v1106) do?
OpenAI: GPT-4 Turbo (older v1106) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4 Turbo (older v1106)?
OpenAI: GPT-4 Turbo (older v1106) is developed by OpenAI and was released on November 6, 2023.
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: August 6, 2026 8:38 pm