gpt-3.5-turbo
OpenAIfamily · GPT 3.5developers.openai.com/api/docs/models/gpt-3.5-tu
Legacy GPT model for cheaper chat and non-chat tasks
Updated 2 h ago · first seen 11 Sept 2026
model_01M293V78K66F7NP209Q472P46
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 2
- API aliases
- gpt-3-5-turbo-0613gpt-3.5-turbogpt-35-turboopenai/gpt-3.5-turboopenai/gpt-3.5-turbo-0613Identifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Closed / proprietary— weights not available; 7 dimensions unknown.
Weights are not available; the model is reachable only through an API or a product.
Weights
No
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
- Status
Source:OpenAI Platform docsT1observed 16 h agohigh
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
- Deprecation date
Source:OpenAI Platform docsT1observed 16 h agohigh
- Retirement date
Source:OpenAI Platform docsT1observed 16 h agohigh
- Official page
Source:OpenAI Platform docsT1observed 16 h agohigh
- API model id
Source:OpenAI Platform docsT1observed 16 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
Benchmarks4
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 4 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →
Providers & Pricing9
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouter$1.5 → $0.7512 Sept 2026
- OpenRouter$2 → $1.512 Sept 2026
- OpenRouterfirst observed $212 Sept 2026
- OpenAI API$1.5 → $0.7511 Sept 2026
- OpenAI API$2 → $1.511 Sept 2026
- OpenAI API$1.5 → $211 Sept 2026
- OpenAI APIfirst observed $1.511 Sept 2026
Input price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouter$0.50 → $0.2512 Sept 2026
- OpenRouter$1 → $0.5012 Sept 2026
- OpenRouterfirst observed $112 Sept 2026
- OpenAI API$0.50 → $0.2511 Sept 2026
- OpenAI API$1 → $0.5011 Sept 2026
- OpenAI API$0.50 → $111 Sept 2026
- OpenAI APIfirst observed $0.5011 Sept 2026
Versions & Artifacts0
Version history
Context window8 changes
11 Sept 2026→11 Sept 2026→11 Sept 2026→12 Sept 2026→12 Sept 2026→12 Sept 2026→12 Sept 2026→12 Sept 2026→12 Sept 2026
Max output5 changes
11 Sept 2026→11 Sept 2026→12 Sept 2026→12 Sept 2026→12 Sept 2026→12 Sept 2026
Knowledge cutofffirst observation only
11 Sept 2026current
Opennessfirst observation only
11 Sept 2026current
Statusfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline17
Full timeline →gpt-3.5-turbo: openrouter listed at changed from 2023-05-28 to 2024-01-25
Openrouter listed at28 May 2023→25 Jan 2024openroutergpt-3.5-turbo: supported parameters changed from ["frequency_penalty", "logit_bias", "logprobs", "max_toke… to ["frequency_penalty", "logit_bias", "logprobs", "max_comp…
Supported parametersfrequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p→frequency_penalty, logit_bias, logprobs, max_completion_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_popenroutergpt-3.5-turbo: max output tokens changed from 4096 to 3685
Max output4.1K tokens→3.69K tokensopenroutergpt-3.5-turbo: context length changed from 16385 to 4095
Context window16.4K tokens→4.1K tokensopenroutergpt-3.5-turbo: openrouter id changed from openai/gpt-3.5-turbo to openai/gpt-3.5-turbo-0613
Openrouter idopenai/gpt-3.5-turbo→openai/gpt-3.5-turbo-0613openroutergpt-3.5-turbo: openrouter listed at changed from 2024-01-25 to 2023-05-28
Openrouter listed at25 Jan 2024→28 May 2023openroutergpt-3.5-turbo: supported parameters changed from ["frequency_penalty", "logit_bias", "logprobs", "max_comp… to ["frequency_penalty", "logit_bias", "logprobs", "max_toke…
Supported parametersfrequency_penalty, logit_bias, logprobs, max_completion_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p→frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_popenroutergpt-3.5-turbo: max output tokens changed from 3685 to 4096
Max output3.69K tokens→4.1K tokensopenroutergpt-3.5-turbo: context length changed from 4095 to 16385
Context window4.1K tokens→16.4K tokensopenroutergpt-3.5-turbo: openrouter id changed from openai/gpt-3.5-turbo-0613 to openai/gpt-3.5-turbo
Openrouter idopenai/gpt-3.5-turbo-0613→openai/gpt-3.5-turboopenrouterOpenRouter lists gpt-3.5-turbo at $0.25 in / $0.75 out per 1M tokens
openrouterOpenRouter lists gpt-3.5-turbo at $0.5 in / $1.5 out per 1M tokens
openrouterOpenRouter lists gpt-3.5-turbo at $1 in / $2 out per 1M tokens
openroutergpt-3.5-turbo scores 29.7% on GPQA Diamond
artificial_analysisgpt-3.5-turbo scores 5.49 on Artificial Analysis Intelligence Index
artificial_analysisGPT-3.5 Turbo: context length changed from 4096 to 16385
Context window4.1K tokens→16.4K tokensopenroutergpt-3.5-turbo: context length changed from 4096 to 4095
Context window4.1K tokens→4.1K tokensopenrouter
Change history
Reasoningreasoning2
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
28
Source tiers
T1T29 / 19
Freshest observation
2 h ago
Conflicts
None
Source documents 5
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (72/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →