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OpenAI: GPT-3.5 Turbo (older v0613)

OpenAI: GPT-3.5 Turbo (older v0613) is a balanced model with standard context support, suited to model training and dataset workflows for enterprise teams.

Try OpenAI: GPT-3.5 Turbo (older v0613) with your team

Last reviewed: 2026-06-09

OpenAI: GPT-3.5 Turbo (older v0613)

OpenAI

Stable
Context Window
4,095
Input / 1M
$1.50
Output / 1M
$3.00

What can you do with OpenAI: GPT-3.5 Turbo (older v0613)?

Practical ways teams can use OpenAI: GPT-3.5 Turbo (older v0613) inside governed AI workflows.

01

Train LoRA adapters with OpenAI: GPT-3.5 Turbo (older v0613)

Create style, product, person, or subject adapters from approved training datasets with OpenAI: GPT-3.5 Turbo (older v0613).

02

Prepare training data with OpenAI: GPT-3.5 Turbo (older v0613)

Package images, captions, examples, and labels for repeatable model-training runs with OpenAI: GPT-3.5 Turbo (older v0613).

03

Validate training outputs with OpenAI: GPT-3.5 Turbo (older v0613)

Review sample generations, quality drift, and unsafe memorization before production use with OpenAI: GPT-3.5 Turbo (older v0613).

04

Govern dataset access with OpenAI: GPT-3.5 Turbo (older v0613)

Restrict sensitive training data with access controls, retention rules, and audit logs with OpenAI: GPT-3.5 Turbo (older v0613).

05

Manage model variants with OpenAI: GPT-3.5 Turbo (older v0613)

Track trained adapters, versions, prompts, and approval status across creative workflows with OpenAI: GPT-3.5 Turbo (older v0613).

06

Estimate training cost with OpenAI: GPT-3.5 Turbo (older v0613)

Compare dataset size, run count, and model usage before scaling training jobs with OpenAI: GPT-3.5 Turbo (older v0613).

Why this model

OpenAI: GPT-3.5 Turbo (older v0613) is available in Remova as a standard context option with $1.50 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 (older v0613) offers standard context capacity for enterprise prompts and documents.
  • Current Remova pricing band is balanced: $1.50 per 1M tokens input and $3.00 per 1M tokens output.
  • Best-fit workloads include: Model training, Dataset workflows, Style adaptation.
  • Keep audit logs enabled for high-impact use cases.

At a glance

Model ID
openai/gpt-3.5-turbo-0613
Context Window
4,095 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$1.50 per 1M tokens
Output Price
$3.00 per 1M tokens
Provider
OpenAI
Listing Date
2024-01-25

Strengths

  • OpenAI: GPT-3.5 Turbo (older v0613) is suited for model training.
  • 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

  • Quality and latency should be benchmarked against your internal prompt set before broad rollout.
  • Standard context limits may require chunking or retrieval strategies for large documents.
  • Balanced-price tiers still need policy-based routing to protect monthly budgets.
  • Model training workflows need dataset consent, version control, and output review before reuse.

Best for

  • OpenAI: GPT-3.5 Turbo (older v0613) for training governed model variants from approved datasets.
  • OpenAI: GPT-3.5 Turbo (older v0613) for preparing, reviewing, and controlling training datasets.
  • OpenAI: GPT-3.5 Turbo (older v0613) for style, subject, or brand adaptation with versioned approvals.
  • OpenAI: GPT-3.5 Turbo (older v0613) for validating trained outputs before production reuse.

Rollout checklist

  • Define where OpenAI: GPT-3.5 Turbo (older v0613) 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_completion_tokens

Use this parameter only with tested defaults in production workflows.

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.

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Knowledge Hub

OpenAI: GPT-3.5 Turbo (older v0613) FAQs

Choose OpenAI: GPT-3.5 Turbo (older v0613) when the workload aligns with model training, dataset workflows, style adaptation 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 (older v0613) with your team