OpenAI: GPT-4 Turbo (older v1106)
Analysis Summary
GPT-4 Turbo v1106 is an older OpenAI model with measured reasoning, coding, math, and benchmark results in the supplied data. It lists tool use, function calling, vision, and a 128K context window, giving it more room for document-heavy work than the earlier GPT-4 entries. Its listed input and output prices are substantial, and the model dates from 2023.
The combination of long context and listed vision and tool features makes it applicable to document review, structured content workflows, and some tool-assisted tasks. Its measured capability is limited relative to current models, however, and the age of the release makes it a poor choice for demanding autonomous coding or high-reliability client workflows without comparison testing.
Keep it for existing integrations or specific tasks where its long context is useful and output is checked. For new deployments, validate a newer benchmarked model against the same workload and cost requirements.
Assessed September 23, 2026
Editorial notes
GPT-4 Turbo v1106 combines measured reasoning and coding results with vision, tool use, function calling, and a 128K context, though its capabilities and pricing are dated.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
GPT-4 Turbo v1106 combines measured reasoning and coding results with vision, tool use, function calling, and a 128K context, though its capabilities and pricing are dated.
Benchmarks
Artificial Analysis data refreshed Oct 12, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How OpenAI: GPT-4 Turbo (older v1106) compares
OpenAI: GPT-4 Turbo (older v1106) ranks #144 of 436 AI models we track for overall intelligence, #155 of 198 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 3% 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.
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?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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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.
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 #155 of 198 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.