GPT-3.5 Turbo (older v0613)

by OpenAIopenai/gpt-3.5-turbo-0613

  • Text
  • No route yet
  • Released
  • Knowledge cutoff 30 September 2021

LLMCompare cannot run GPT-3.5 Turbo (older v0613) yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

See the models that can be run now

GPT-3.5 Turbo (older v0613) at a glance

Context length
4,095 tokens
Maximum output
3,685 tokens
Accepts
Text
Returns
Text
Features
JSON outputTool calling
Reasoning effort levels
Not supported
Released
25 Jan 2024
Knowledge cutoff
30 September 2021

Model facts synced from the OpenRouter model list on 21 Oct 2026.

GPT-3.5 Turbo (older v0613) pricing by route

A route is the service LLMCompare calls to reach the model. GPT-3.5 Turbo (older v0613) has 1 route. Prices are in US dollars.

Prices of GPT-3.5 Turbo (older v0613) on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$1.00$2.00openrouter.ai/openai/gpt-3.5-turbo-0613

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to GPT-3.5 Turbo (older v0613) costs. The starting numbers are examples. Change them to match your task.

Cost per call
$0.002
3 credits
Cost of 100 calls
$0.20
300 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of GPT-3.5 Turbo (older v0613)
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 3,685Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About GPT-3.5 Turbo (older v0613)

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.

Description as published for this model. LLMCompare has not edited it.

Models to compare with GPT-3.5 Turbo (older v0613)

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with GPT-3.5 Turbo (older v0613)
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
GPT Audio MiniOpenAIopenai/gpt-audio-mini128k16.4k$0.60$2.40JSONToolsNo route yet
GPT-3.5 Turbo InstructOpenAIopenai/gpt-3.5-turbo-instruct4.1k3.7k$1.50$2.00JSONNo route yet
GPT-5.1-Codex-MiniOpenAIopenai/gpt-5.1-codex-mini400k128k$0.25$2.00ReasoningJSONToolsCacheVisionNo route yet
Seed 2.1 TurboByteDance Seedbytedance-seed/seed-2-1-turbo262k236k$0.50$2.50JSONToolsVisionNo route yet
Nemotron 3 UltraNVIDIAnvidia/nemotron-3-ultra-550b-a55b262k183k$0.60$2.40ReasoningJSONToolsCacheNo route yet
Grok Build 0.1SpaceXAIx-ai/grok-build-0.1256k230k$1.00$2.00JSONToolsCacheVisionNo route yet

Questions about GPT-3.5 Turbo (older v0613)

How much does GPT-3.5 Turbo (older v0613) cost?
On the OpenRouter route, GPT-3.5 Turbo (older v0613) costs $1.00 per 1 million input tokens and $2.00 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
What is the context length of GPT-3.5 Turbo (older v0613)?
GPT-3.5 Turbo (older v0613) has a context length of 4,095 tokens and returns up to 3,685 output tokens in one call.
What inputs does GPT-3.5 Turbo (older v0613) accept?
GPT-3.5 Turbo (older v0613) accepts these inputs: Text. GPT-3.5 Turbo (older v0613) returns: Text.
Can I test GPT-3.5 Turbo (older v0613) on my own data?
Not yet. LLMCompare lists the prices and parameters of GPT-3.5 Turbo (older v0613), but no route to GPT-3.5 Turbo (older v0613) is configured on LLMCompare, so it cannot be selected for an evaluation.