Production Readiness Profile

GPT-3.5 Turbo 16k

Name: GPT-3.5 Turbo 16k
Brand: OpenAI

GPT-3.5 Turbo 16k is a premium model with standard context support, optimized for low-latency assistants and cost-sensitive deployment in enterprise environments.

Use GPT-3.5 Turbo 16k in your company

Data checked: 2026-03-19

Context Window

16,385

Input / 1M

$3.00

Output / 1M

$4.00

Model Positioning

OpenAI lists GPT-3.5 Turbo 16k as a standard context option with $3.00 per 1M tokens input pricing, $4.00 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

Latest profile indicates standard context capacity for enterprise prompts and documents.
Current pricing band is premium: $3.00 per 1M tokens input and $4.00 per 1M tokens output.
Best-fit workloads include: Low-latency assistants, Cost-sensitive deployment.
Enforce policy checks and output review on sensitive workflows.

Key Specs

Model ID: openai/gpt-3.5-turbo-16k
Context Window: 16,385 tokens
Modality: text->text
Input Modalities: text
Output Modalities: text
Input Price: $3.00 per 1M tokens
Output Price: $4.00 per 1M tokens
Provider: OpenAI
Listing Date: 2023-08-28

Strengths

GPT-3.5 Turbo 16k is suited for low-latency assistants.
Supports standard context for multi-step prompts and larger working sets.
Pricing profile is premium, enabling predictable workload routing decisions.
Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

Without workload routing, teams may overuse this model for requests that fit lower-cost tiers.
Standard context limits may require chunking or retrieval strategies for large documents.
Premium tiers should be restricted to high-value workflows to avoid unnecessary spend concentration.
Text-only modality can limit workflows that rely on image, audio, or document interpretation.

High-Fit Use Cases

GPT-3.5 Turbo 16k for high-volume assistant traffic with low-response targets.
GPT-3.5 Turbo 16k for scaled deployment under strict budget constraints.
GPT-3.5 Turbo 16k for governed enterprise assistant workflows across teams.
GPT-3.5 Turbo 16k for governed enterprise assistant workflows across teams.

Deployment Checklist

Define where GPT-3.5 Turbo 16k is default vs. fallback in your routing policy.
Enable role-based access and policy checks before opening access broadly.
Set spend guardrails by team and monitor weekly token consumption.
monitor quality and spend weekly during early deployment.
Re-run quality and cost benchmarks monthly as newer releases appear.

Start Smaller

Safe AI Use Case Selector

Choose your team and goals, then start with the AI use cases that fit best and carry the least risk.

You get

Recommended first use cases for your company.

Send to my email

Parameter Guidance

frequency_penalty

Tune repetition control for long responses in multi-step workflows.

logit_bias

Use this parameter only with tested defaults in production workflows.

logprobs

Use this parameter only with tested defaults in production workflows.

max_tokens

Set completion limits to avoid unpredictable long-output spend.

Start Smaller

AI Risk Test

Test what can go wrong before teams start using AI loosely across the company.

You get

A short risk summary with the main gaps to close.

Send to my email Book demo

Knowledge Hub

GPT-3.5 Turbo 16k FAQs

Choose GPT-3.5 Turbo 16k when the workload aligns with low-latency assistants, cost-sensitive deployment and quality targets justify its pricing profile.

It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.

Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Use GPT-3.5 Turbo 16k in your company