Analysis Summary
GPT-4 Turbo v1106 is an early GPT-4 Turbo release with a 128K context window, vision, tool use, and function calling. Its measured reasoning index is 25.6, with coding at 21.8, while the supplied results show useful performance on general knowledge and instruction-oriented tasks. Input pricing is $10 per million tokens and output pricing is $30.
It can support structured content production, document analysis, and basic tool-driven workflows, especially where a large context is important. Coding and advanced reasoning are below current professional standards, and the premium output price makes high-volume automation unattractive. Use it only where an existing integration depends on this version or where legacy compatibility matters; new deployments should favour newer, better-measured alternatives.
Assessed August 9, 2026
Editorial notes
GPT-4 Turbo v1106 combines vision, function calling, a 128K context window, and stronger reasoning than lightweight legacy models, but its high token pricing and age make it a secondary choice today.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4 Turbo v1106 combines vision, function calling, a 128K context window, and stronger reasoning than lightweight legacy models, but its high token pricing and age make it a secondary choice today.
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 #144 of 424 AI models we track for overall intelligence, #131 of 197 for coding. Its 128K-token context window is larger than 37% 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 701 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.
Explore Related Models
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 #131 of 197 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 13, 2026 8:38 pm