Price Per TokenPrice Per Token
OpenAI

GPT 4 Turbo Preview API Pricing 2026

Compare pricing, benchmarks, and providers for GPT 4 Turbo Preview. Find the best value for your use case.

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Last updated: January 14, 2026 at 08:06 AM

Overview

GPT 4 Turbo Preview was released on January 25, 2024. Pricing starts at $10.00 per million input tokens and $30.00 per million output tokens. The model supports a context window of up to 128K tokens. API access is available through OpenAI.

Context Window
128K
tokens
Pricing
Input$10.00
Output$30.00
per 1M tokens
Speed
Output-
TTFT-
median latency
Capabilities
Tools

Pricing Comparison

Compare GPT 4 Turbo Preview with 10 similar models by price.

Current Pricing (per 1M tokens)

11 models

Provider
Model
Input $/M
Output $/M
Context
Actions
$10.000
$30.000
128,000
Try
$4.000
$4.000
32,768
Try
$4.500
$4.500
16,000
Try
$5.000
$15.000
128,000
Try
$5.000
$25.000
200,000
Try
$5.000
$15.000
128,000
Try
$6.000
$30.000
200,000
Try
$6.000
$8.000
6,144
Try
$10.000
$10.000
400,000
Try
$10.000
$40.000
200,000
Try
$10.000
$30.000
128,000
Try

* Some models use tiered pricing based on prompt length. Displayed prices are for prompts ≤ 200k tokens.

Compare Providers

GPT 4 Turbo Preview is available from multiple providers with different pricing and availability.

3
Providers
$10.000
Cheapest Input/M
$30.000
Cheapest Output/M
OpenAI
Best Price

Provider Pricing

3 models

Provider
Input $/M
Output $/M
Uptime
OpenAI
OpenAI
Best Price
$10.000
$30.000
-
OpenRouter
OpenRouter
Best Price
$10.000
$30.000
-
A
Azure
Best Price
$10.000
$30.000
-
Provider pricing data sourced from OpenRouter and Helicone

Cost vs. Quality

Compare GPT 4 Turbo Preview's benchmark performance against all models.

X-axis:
Y-axis:
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GPT-4 Turbo Preview
Other models

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Frequently Asked Questions

GPT 4 Turbo Preview costs $0.010000 per 1,000 input tokens and $0.030000 per 1,000 output tokens.
GPT 4 Turbo Preview is available from 3 provider(s). OpenAI offers the best price.
We compare GPT 4 Turbo Preview with 10 similarly-priced models. See the benchmark scatter plot above to compare quality vs cost.

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