Models / OpenAI/ GPT-3.5 Turbo (older v0613)

GPT-3.5 Turbo (older v0613)

OpenAI · released Jan 25, 2024

Input: text. Output: text.InputOutput
Type
Proprietary
Input
$3.00
Output
$4.00
Cached
Not published

List price · per 1M tokens · OpenAI at 16K context · source ↗

Our take

Written Aug 3, 2026

GPT-3.5 Turbo is an older text-only model from OpenAI, released in early 2024 and still available through a handful of hosts. Its context limit is modest by current standards and it trails newer models on every measured quality dimension, though it remains the cheapest entry point in its own family through certain channels.

Who should pick it

Use this only for legacy system maintenance that requires the exact v0613 checkpoint, or when you face extreme budget pressure and can verify the quality suffices through OpenRouter or Azure. Consider it as a low-latency fallback where speed on OpenAI's own servers matters more than output quality. Skip it if you need image or document input, a longer context, or anything approaching current-generation capability.

The case for it

  • Cheapest entry in its own family through OpenRouter and Azure, at one-third the input cost and half the output cost of OpenAI direct.
  • Fastest throughput on OpenAI's own servers, at more than ten times the speed measured on Azure.
  • Coding evaluation is its strongest measured category, roughly fifty points above its overall chat score.

The case against it

  • Narrow context window by modern standards, capped at just over four thousand tokens with no larger option.
  • Text-only; no image, audio or document input, unlike every current-generation alternative.
  • Creative writing is its weakest measured category, more than thirty points below its overall chat score.
00

How good is it?

IntelligencePuzzles, maths, exam questions

1 of 5

Arena Text (overall)140th of 143 · 1224.7

Arena Hard Prompts 140th of 143Arena Maths 136th of 139

CodingWriting and fixing code on its own

1 of 5

Arena Coding139th of 143 · 1274.4

Arena Coding is the only board that has scored it for this.

AgenticPlanning, calling tools, staying on task

not measured

Nobody we watch has scored GPT-3.5 Turbo (older v0613) for this. We would take the rating from Arena Agent (IPS).

WritingWe do not rate this

Scored, not ratedThe placings are on the right.

Two boards come close and neither tests writing: Arena Creative Writing asks people which of two replies they prefer, and LiveBench Language tests whether a model understood a passage. So we show where GPT-3.5 Turbo (older v0613) placed and give it no mark out of five.

Arena Creative Writing 140th of 143 · 1189.6
Also scored, on boards we give no mark for
Arena Instruction Following 140th of 143

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.

Every published score for this model6 scoresEvery figure we hold, from 6 boards, with who ran it and a link to the source — including the boards no rating above is built on.
1274.4independentsource ↗
1228.1independentsource ↗
1203.7independentsource ↗
1224.7independentsource ↗
01

Or rent it from someone else

Cheapest published offer

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 16K of context.

per 1M tokens
$3.00 in / $4.00 out
Context served
16K
Throughput
~4 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$1.00 / $2.004Knot measuredUnknownUnknownUnknown
Microsoft Azure AI$1.00 / $2.004K6 tok/sNoNoConfirmed
OpenAI$3.00 / $4.0016K4K out4 tok/sNoYesunknown periodUnknown

Across the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 do not say. 1 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenRouter
Microsoft Azure AI
OpenAI

Tool calling: 3 of 3 listings say yes. JSON output: 3 of 3 listings say yes. Strict schema: 3 of 3 listings say yes.

02

When we formed this view

Dates behind this page

Aug 2, 2026BenchmarkScored 1274.4 on Arena Codingleaderboard
Aug 2, 2026BenchmarkScored 1189.6 on Arena Creative Writingleaderboard
Aug 2, 2026BenchmarkScored 1228.1 on Arena Hard Promptsleaderboard
Aug 2, 2026BenchmarkScored 1214 on Arena Instruction Followingleaderboard
Aug 2, 2026BenchmarkScored 1203.7 on Arena Mathsleaderboard
Aug 2, 2026BenchmarkScored 1224.7 on Arena Text (overall)leaderboard
Jul 27, 2026Benchmark updategpt-3.5-turbo-0125 enters LMArena at 1225 Elo66207 votes
Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Jan 25, 2024AnnouncedGPT-3.5 Turbo (older v0613) announced by OpenAI

Prices last checked 9d ago

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 3 listings do not say whether they train on prompts.
  • We hold no cached-input rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text->text
Catalogue slug
openai-gpt-3-5-turbo-older-v0613

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us