Atlas / Models / OpenAI / OpenAI: GPT-4 Turbo (older v1106)

OpenAI: GPT-4 Turbo (older v1106)✓ Catalog verified

openai/gpt-4-1106-preview

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.

Input price
$10.00 /1M
Output price
$30.00 /1M
Context
128K
Modalities
text
Released
Nov 6, 2023
Tool calling
✓ Yes
Atlas signal
81/100
01

Overview

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.

Access: available through the official OpenAI API. Context window: 128K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifieropenai/gpt-4-1106-preview
ProviderOpenAI
Model typeText LLM
Context window128K catalog
Input modalitiestext
Output modalitiestext
ReleasedNov 6, 2023
TokenizerGPT
ModeratedYes
Architecture modalitytext->text
Supported parameters
frequency_penaltylogit_biaslogprobsmax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_logprobstop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for openai/gpt-4-1106-preview as published in the catalog.

$10.00
Input /1M
$30.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.00001$10.00 / 1MPer input token
Completion tokens$0.00003$30.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$11Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

OpenAI: GPT-4 Turbo (older v1106)
MMLU Signal (Reasoning)
79signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
79signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call OpenAI: GPT-4 Turbo (older v1106) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="openai/gpt-4-1106-preview",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does OpenAI: GPT-4 Turbo (older v1106) cost?

$10.00 per 1M input tokens and $30.00 per 1M output tokens on the official OpenAI API.

What is the context window of OpenAI: GPT-4 Turbo (older v1106)?

OpenAI: GPT-4 Turbo (older v1106) supports up to 128K tokens of context.

Does OpenAI: GPT-4 Turbo (older v1106) support tool / function calling?

Yes, OpenAI: GPT-4 Turbo (older v1106) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access OpenAI: GPT-4 Turbo (older v1106)?

Use the official OpenAI API with the model id `openai/gpt-4-1106-preview`. See the Quick start section above for code examples.