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OpenAI: GPT-3.5 Turbo

OpenAI: GPT-3.5 Turbo is a balanced model with standard context support, suited to agent workflows and code generation for enterprise teams.

Try OpenAI: GPT-3.5 Turbo with your team

Last reviewed: 2026-04-28

Context Window
16,385
Input / 1M
$0.75
Output / 1M
$2.25

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

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

01

Code and debug with OpenAI: GPT-3.5 Turbo

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

02

Build workflow automations with OpenAI: GPT-3.5 Turbo

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

03

Improve security reviews with OpenAI: GPT-3.5 Turbo

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

04

Create presentations with OpenAI: GPT-3.5 Turbo

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

05

Summarize long documents with OpenAI: GPT-3.5 Turbo

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

06

Analyze spreadsheets with OpenAI: GPT-3.5 Turbo

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

07

Draft customer communications with OpenAI: GPT-3.5 Turbo

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

08

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

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

09

Research competitors and markets with OpenAI: GPT-3.5 Turbo

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

10

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

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

11

Support finance planning with OpenAI: GPT-3.5 Turbo

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

12

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

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

Why this model

OpenAI: GPT-3.5 Turbo is available in Remova as a standard context option with $0.75 per 1M tokens input pricing, $2.25 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

  • OpenAI: GPT-3.5 Turbo offers standard context capacity for enterprise prompts and documents.
  • Current Remova pricing band is balanced: $0.75 per 1M tokens input and $2.25 per 1M tokens output.
  • Best-fit workloads include: Agent workflows, Code generation.
  • Keep role-based access in place before broad rollout.

At a glance

Model ID
openai/gpt-3.5-turbo
Context Window
16,385 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$0.75 per 1M tokens
Output Price
$2.25 per 1M tokens
Provider
OpenAI
Listing Date
2023-05-28

Strengths

  • OpenAI: GPT-3.5 Turbo is suited for agent workflows.
  • 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

  • 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.
  • 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 for tool-driven automation with governance checkpoints.
  • OpenAI: GPT-3.5 Turbo for software delivery workflows with policy-enforced prompts.
  • OpenAI: GPT-3.5 Turbo for governed enterprise assistant workflows across teams.
  • OpenAI: GPT-3.5 Turbo for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where OpenAI: GPT-3.5 Turbo 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 one workflow, then expand after you verify quality and spend.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

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 FAQs

Choose OpenAI: GPT-3.5 Turbo when the workload aligns with agent workflows, code generation 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 with your team