GPT-3.5 Turbo Instruct — OpenAI | Modeldex

GPT-3.5 Turbo Instruct

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This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

Updated 4 days agoStructured data from Modeldex catalog

Knowledge cutoff

Sep 30, 2021(4.6 years ago)

API release

Sep 28, 2023(2.6 years ago)

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

Overview

This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

History

GPT-3.5 Turbo Instruct became available via the OpenAI API on 2023-09-28.

Training & availability

Training data has a knowledge cutoff of 2021-09-30 — 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: 4K tokens.
Input modalities: text.

Limitations

The knowledge cutoff is 55 months old — this model will not know about recent events, releases, or API changes.
The context window (4K tokens) is modest by 2026 standards — unsuitable for processing long documents in a single request.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $1.5000 per 1M tokens
Output: $2.0000 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-3-5-turbo-instruct",
    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

@ $1.5/1M

Output tokens / month2.0M

@ $2/1M

Input cost

$7.5

5.0M × $1.5/1M

Output cost

2.0M × $2/1M

Total / month

$11.5

$138 / 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	75tok/s	821ms	$1.5	$2	4K	—	json

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Mid-tier pricing

Standard pricing band. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $1.88/1M
Pricing breakdown: $1.5/1M in
$2/1M out

Community ratings

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