Atlas / Models / OpenAI / OpenAI: GPT-3.5 Turbo 16k

OpenAI: GPT-3.5 Turbo 16k✓ Catalog verified

openai/gpt-3.5-turbo-16k

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.

Input price
$3.00 /1M
Output price
$4.00 /1M
Context
16K
Modalities
text
Released
Aug 28, 2023
Tool calling
✓ Yes
Atlas signal
76/100
01

Overview

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. 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-16k
ProviderOpenAI
Model typeText LLM
Context window16K catalog
Input modalitiestext
Output modalitiestext
ReleasedAug 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-16k as published in the catalog.

$3.00
Input /1M
$4.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.000003$3.00 / 1MPer input token
Completion tokens$0.000004$4.00 / 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

$2.3Calculated 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 16k
MMLU Signal (Reasoning)
74signal
Coding Signal (HumanEval proxy)
83signal
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 16k 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-16k",
    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 16k cost?

$3.00 per 1M input tokens and $4.00 per 1M output tokens on the official OpenAI API.

What is the context window of OpenAI: GPT-3.5 Turbo 16k?

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

Does OpenAI: GPT-3.5 Turbo 16k support tool / function calling?

Yes, OpenAI: GPT-3.5 Turbo 16k 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 16k?

Use the official OpenAI API with the model id `openai/gpt-3.5-turbo-16k`. See the Quick start section above for code examples.