GPT-4 Turbo — OpenAI | Modeldex

GPT-4 Turbo

Deprecated

Previous-gen GPT-4 flagship with 128k context, now superseded by GPT-4o.

Updated 5 days agoStructured data from Modeldex catalog

VisionAgentic

Knowledge cutoff

Dec 31, 2023(2.3 years ago)

API release

Apr 9, 2024(2.0 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

GPT-4 Turbo was OpenAI's flagship model before GPT-4o, featuring a 128k context window and improved instruction following over GPT-4. Deprecated in favor of GPT-4o.

History

GPT-4 Turbo became available via the OpenAI API on 2024-04-09. This model is marked as deprecated and may be retired in the future.

Training & availability

Training data has a knowledge cutoff of 2023-12-31 — information about events after that date is unlikely to appear in the model's responses. OpenAI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 128K tokens.
Max output: 4K tokens.
Input modalities: text, image.

Recommended for: vision, agentic.

Limitations

The knowledge cutoff is 27 months old — this model will not know about recent events, releases, or API changes.
At $30.00/1M output tokens, this is in the premium tier — verify cost-per-value for high-volume workloads.

Pricing

Input: $10.0000 per 1M tokens
Output: $30.0000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the openai API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
    model="gpt-4-turbo",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $10/1M

Output tokens / month2.0M

@ $30/1M

Input cost

$50

5.0M × $10/1M

Output cost

$60

2.0M × $30/1M

Total / month

$110

$1320 / year

Providers & performance

1 provider

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
OpenAI	27tok/s	979ms	$10	$30	128K	—	tools · json

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Premium pricing

Priced like a frontier model. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $25/1M
Pricing breakdown: $10/1M in
$30/1M out

Community ratings

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