Atlas / Models / OpenAI / OpenAI: GPT-3.5 Turbo

OpenAI: GPT-3.5 Turbo✓ Catalog verified

openai/gpt-3.5-turbo

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

Input price
$0.50 /1M
Output price
$1.50 /1M
Context
16K
Modalities
text
Released
May 28, 2023
Tool calling
✓ Yes
Atlas signal
79/100
01

Overview

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

Access: available through the official OpenAI API. Context window: 16K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifieropenai/gpt-3.5-turbo
ProviderOpenAI
Model typeText LLM
Context window16K catalog
Input modalitiestext
Output modalitiestext
ReleasedMay 28, 2023
TokenizerGPT
ModeratedYes
Architecture modalitytext->text
Supported parameters
frequency_penaltylogit_biaslogprobsmax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_logprobstop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for openai/gpt-3.5-turbo as published in the catalog.

$0.50
Input /1M
$1.50
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$5e-7$0.50 / 1MPer input token
Completion tokens$0.0000015$1.50 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.55Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

OpenAI: GPT-3.5 Turbo
MMLU Signal (Reasoning)
74signal
Coding Signal (HumanEval proxy)
93signal
Math Signal (GSM8K proxy)
74signal
Science Signal (GPQA proxy)
74signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call OpenAI: GPT-3.5 Turbo through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="openai/gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does OpenAI: GPT-3.5 Turbo cost?

$0.50 per 1M input tokens and $1.50 per 1M output tokens on the official OpenAI API.

What is the context window of OpenAI: GPT-3.5 Turbo?

OpenAI: GPT-3.5 Turbo supports up to 16K tokens of context.

Does OpenAI: GPT-3.5 Turbo support tool / function calling?

Yes, OpenAI: GPT-3.5 Turbo supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access OpenAI: GPT-3.5 Turbo?

Use the official OpenAI API with the model id `openai/gpt-3.5-turbo`. See the Quick start section above for code examples.