openai
OpenAI: GPT-3.5 Turbo (older v0613)
openai/gpt-3.5-turbo-0613
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists openai/gpt-3.5-turbo-0613 as the older June 2023 (v0613) snapshot of OpenAI's GPT-3.5 Turbo, a text-in, text-out model the catalog describes as OpenAI's fastest, able to understand and generate natural language or code and optimized for chat and traditional completion tasks. It reports a 4,095-token context window, a September 2021 knowledge cutoff, and support for parameters including tools, structured outputs, and seed. No independent model card or benchmark data was available in this source pack, so claims reflect catalog information only.[1]
Strengths
Limitations
- Its knowledge cutoff is September 2021, so it lacks information about later events.[1]
- Evidence comes from the OpenRouter catalog only, with no independent model card or measured benchmark results; validate against real workloads before adoption.[1]
- The reported 4,095-token context window may constrain tasks involving long documents or extended conversations.[1]
Where to use it
- May suit general-purpose chat and conversational assistants, consistent with the catalog's positioning.[1]
- May suit text-based code assistance and traditional completion tasks, per the catalog description.[1]
- May suit integrations that rely on tool calling or structured outputs, subject to validation in your stack.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-3.5 Turbo (older v0613)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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.
Specifications
- Model ID
- openai/gpt-3.5-turbo-0613
- Creator
- openai
- Added to OpenRouter
- 25.01.2024
- Context length
- 4,095
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1 / out $2
- Knowledge cutoff
- 30.09.2021
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Azure | 4,095 | $1 | $2 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.