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GPT-3.5 Turbo Instruct

Last updated: 54m ago

by OpenAI · Pricing

High confidence

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.

40
Overall Score54
Rank #360 of 378 in Coding
Top 95% · Methodology v3
Score Trend
14-day history
API Pricing
$1.5/M in
$2/M out
Context Window
4.1K
4.1K max output
4.1K token context
Released 2023-09-28
#360range #341-#378Top 95%
#1#379

Signal Overview

Capabilities33Pricing98Context57Recency0Output60

Score Breakdown

SignalStrengthWeightImpact
Pricingjust now
98
25%+24.5
Capabilitiesjust now
33
30%+10.0
Output Capacityjust now
60
15%+9.0
Context Windowjust now
57
15%+8.6
Recencyjust now
0
15%+0.0

Capabilities

Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output

Modalities

Input
text
Output
text

Recent OpenAI releases

View this model against the provider’s recent shipping cadence.

Reviews

Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.

Reviews

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Frequently Asked Questions

GPT-3.5 Turbo Instruct by OpenAI excels in the Coding category, where it ranks #360 with a composite score of 40/100. 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. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.
GPT-3.5 Turbo Instruct is priced at $1.50 per million input tokens and $2.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.
In the Coding category, GPT-3.5 Turbo Instruct holds rank #360 out of 378 models tracked. Its quality rank is #360 and adoption rank is #360. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
GPT-3.5 Turbo Instruct has been evaluated across 5 different signals. Its strongest areas include Capabilities (33/100), Pricing (98/100), Context Window (57/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.
GPT-3.5 Turbo Instruct is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.
GPT-3.5 Turbo Instruct supports a 4K token context window (4,095 tokens total). That translates to roughly 3,071 words in a single prompt. Best suited for shorter prompts and focused tasks where you do not need to load massive context.
GPT-3.5 Turbo Instruct can generate up to 4K output tokens (4,096 tokens) per response. That is roughly 3,072 words. Sufficient for typical conversations, code snippets, and summaries.
GPT-3.5 Turbo Instruct supports structured JSON output, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.
GPT-3.5 Turbo Instruct was developed by OpenAI. It was released on September 28, 2023. You can access it through OpenAI's API. Check our provider page for all models from OpenAI and how they compare against each other.
Pick GPT-3.5 Turbo Instruct when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access GPT-3.5 Turbo Instruct through OpenAI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.

Key Info

ProviderOpenAI
CategoryCoding
Max Output4.1K tokens
LicenseProprietary
Statusstable
Data updated: Aug 9, 2026Status: Jul 9, 2026

Pricing Tools

Pricingper 1M tokens
Best value
62% cheaper than category average
Input
$1.50
-40% vs avg
Output
$2.00
-83% vs avg

Cost Estimator

Input: 70%Output: 30%
Est. monthly cost$16.50
Category average$53.54

You save $37.04/month vs category average

Access & Availability

Hosted APIAvailable
PlaygroundAvailable
Open weightsNo
Hugging FaceNot listed

Why This Rank

+Pricing
-Capabilities
+Output Capacity
~Context Window

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