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OpenAI: GPT-3.5 Turbo Instruct

OpenAI: GPT-3.5 Turbo Instruct is a balanced model with standard context support, suited to general chat and enterprise assistants for enterprise teams.

Try OpenAI: GPT-3.5 Turbo Instruct with your team

Last reviewed: 2026-04-28

Context Window
4,095
Input / 1M
$2.25
Output / 1M
$3.00

What can you do with OpenAI: GPT-3.5 Turbo Instruct?

Practical ways teams can use OpenAI: GPT-3.5 Turbo Instruct inside governed AI workflows.

01

Create presentations with OpenAI: GPT-3.5 Turbo Instruct

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with OpenAI: GPT-3.5 Turbo Instruct.

02

Code and debug with OpenAI: GPT-3.5 Turbo Instruct

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with OpenAI: GPT-3.5 Turbo Instruct.

03

Summarize long documents with OpenAI: GPT-3.5 Turbo Instruct

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with OpenAI: GPT-3.5 Turbo Instruct.

04

Analyze spreadsheets with OpenAI: GPT-3.5 Turbo Instruct

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with OpenAI: GPT-3.5 Turbo Instruct.

05

Draft customer communications with OpenAI: GPT-3.5 Turbo Instruct

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with OpenAI: GPT-3.5 Turbo Instruct.

06

Prepare legal and compliance reviews with OpenAI: GPT-3.5 Turbo Instruct

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with OpenAI: GPT-3.5 Turbo Instruct.

07

Build workflow automations with OpenAI: GPT-3.5 Turbo Instruct

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with OpenAI: GPT-3.5 Turbo Instruct.

08

Research competitors and markets with OpenAI: GPT-3.5 Turbo Instruct

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with OpenAI: GPT-3.5 Turbo Instruct.

09

Create knowledge-base answers with OpenAI: GPT-3.5 Turbo Instruct

Answer employee questions from internal policies, product docs, training material, and operating procedures with OpenAI: GPT-3.5 Turbo Instruct.

10

Support finance planning with OpenAI: GPT-3.5 Turbo Instruct

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with OpenAI: GPT-3.5 Turbo Instruct.

11

Improve security reviews with OpenAI: GPT-3.5 Turbo Instruct

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with OpenAI: GPT-3.5 Turbo Instruct.

12

Generate product and marketing copy with OpenAI: GPT-3.5 Turbo Instruct

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with OpenAI: GPT-3.5 Turbo Instruct.

Why this model

OpenAI: GPT-3.5 Turbo Instruct is available in Remova as a standard context option with $2.25 per 1M tokens input pricing, $3.00 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

  • OpenAI: GPT-3.5 Turbo Instruct offers standard context capacity for enterprise prompts and documents.
  • Current Remova pricing band is balanced: $2.25 per 1M tokens input and $3.00 per 1M tokens output.
  • Best-fit workloads include: General chat, Enterprise assistants.
  • Keep audit logs enabled for high-impact use cases.

At a glance

Model ID
openai/gpt-3.5-turbo-instruct
Context Window
4,095 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$2.25 per 1M tokens
Output Price
$3.00 per 1M tokens
Provider
OpenAI
Listing Date
2023-09-28

Strengths

  • OpenAI: GPT-3.5 Turbo Instruct is suited for general chat.
  • Supports standard context for multi-step prompts and larger working sets.
  • Pricing profile is balanced, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Operational drift can appear over time without recurring quality evaluations.
  • Standard context limits may require chunking or retrieval strategies for large documents.
  • Balanced-price tiers still need policy-based routing to protect monthly budgets.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

  • OpenAI: GPT-3.5 Turbo Instruct for internal productivity assistants and knowledge workflows.
  • OpenAI: GPT-3.5 Turbo Instruct for internal productivity assistants and knowledge workflows.
  • OpenAI: GPT-3.5 Turbo Instruct for governed enterprise assistant workflows across teams.
  • OpenAI: GPT-3.5 Turbo Instruct for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where OpenAI: GPT-3.5 Turbo Instruct 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.
  • Start with approved teams, then expand in controlled waves.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

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Tuning notes

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.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
Knowledge Hub

OpenAI: GPT-3.5 Turbo Instruct FAQs

Choose OpenAI: GPT-3.5 Turbo Instruct when the workload aligns with general chat, enterprise assistants 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.

Try OpenAI: GPT-3.5 Turbo Instruct with your team