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gpt-3.5-turbo-16k

OpenAI · chat model

gpt-3.5-turbo-16k is listed here as a chat model from OpenAI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$3.0000 / 1M tokens
Output
$4.0000 / 1M tokens
Cached input
N/A
Context
4.1K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$3.0000 / 1M tokens
Output
$4.0000 / 1M tokens
Embedding
$3.0000 / 1M tokens

Token limits

Context window
4.1K
Max input tokens
16.4K
Max output tokens
4.1K
Max tokens
4.1K

Capabilities

Capability Supported
Vision —
Function calling —
Parallel function calling —
Tool choice ✅
Prompt caching ✅
Reasoning —
Response schema —
System messages ✅
Audio input —
Audio output —
Web search —
PDF input —
Video input —

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
gpt-3.5-turbo-16k
OpenAI
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
Output: unknown
Tool choicePrompt cachingSystem messages
4.1K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
ft:gpt-3.5-turbo
OpenAI
In $3.0000 / 1M tokens
Out $6.0000 / 1M tokens
Output: unknown
Tool choiceSystem messages
4.1K
Same provider
Overall 48%
ft:gpt-3.5-turbo-0125
OpenAI
In $3.0000 / 1M tokens
Out $6.0000 / 1M tokens
Output: unknown
Tool choiceSystem messages
4.1K
Same provider
Overall 48%
ft:gpt-3.5-turbo-0613
OpenAI
In $3.0000 / 1M tokens
Out $6.0000 / 1M tokens
Output: unknown
Tool choiceSystem messages
4.1K
Same provider
Overall 48%
ft:gpt-3.5-turbo-1106
OpenAI
In $3.0000 / 1M tokens
Out $6.0000 / 1M tokens
Output: unknown
Tool choiceSystem messages
4.1K
Same provider
Overall 48%
gpt-35-turbo-16k
Azure
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Tool choice
4.1K
Partial I/O overlap
Overall 43%
gpt-3.5-turbo-16k
OpenRouter
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Tool choice
4.1K
Partial I/O overlap
Overall 43%
gpt-35-turbo-16k-0613
Azure
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Tool choice
4.1K
Partial I/O overlap
Overall 41%
gpt-3.5-turbo
OpenAI
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Tool choicePrompt cachingSystem messages
4.1K
Same provider
Overall 39%
gpt-3.5-turbo-1106
OpenAI
In $1.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Tool choicePrompt cachingSystem messages
4.1K
Same provider
Overall 39%
gpt-4
OpenAI
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Tool choicePrompt cachingSystem messages
4.1K
Same provider
Overall 35%
gpt-4-0613
OpenAI
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Tool choicePrompt cachingSystem messages
4.1K
Same provider
Overall 35%
meta.llama3-70b-instruct-v1:0
Bedrock
In $3.0500 / 1M tokens
Out $4.0300 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 27%
meta.llama3-70b-instruct-v1:0
Bedrock
In $2.8600 / 1M tokens
Out $3.7800 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 26%
meta.llama3-70b-instruct-v1:0
Bedrock
In $3.1800 / 1M tokens
Out $4.2000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 26%