openai
OpenAI: GPT-3.5 Turbo 16k
openai/gpt-3.5-turbo-16k
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog describes openai/gpt-3.5-turbo-16k as a text-only OpenAI model with a 16,385-token context window, said to be about four times that of gpt-3.5-turbo and enough for roughly 20 pages per request at a higher price. The listing reports a September 2021 knowledge cutoff and support for tools, structured outputs, and common sampling controls. No benchmark results are included, and no independent model card was available in this source pack, so all capabilities remain catalog-reported.[1]
Strengths
- The catalog reports a 16,385-token context window, described as four times that of gpt-3.5-turbo and sized for roughly 20 pages of text in a single request.[1]
- Supported parameters include tools, tool_choice, structured_outputs, response_format, seed, and common sampling controls, per the catalog.[1]
Limitations
- All evidence here is catalog-only; no independent model card was available in this source pack, so claimed capabilities and cost are unverified.[1]
- No benchmark or evaluation results are reported, so real-world performance is unknown and should be validated on your workload.[1]
- The catalog lists a September 30, 2021 knowledge cutoff and text-only input and output modalities.[1]
Where to use it
- Potentially suitable for summarizing, extracting from, or question-answering over long documents that fit within the reported context window.[1]
- May fit assistants or pipelines that need function calling and structured output, pending validation on your workload.[1]
- Best considered for tasks that do not require knowledge after the reported September 2021 cutoff.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-3.5 Turbo 16kSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Specifications
- Model ID
- openai/gpt-3.5-turbo-16k
- Creator
- openai
- Added to OpenRouter
- 28.08.2023
- Context length
- 16,385
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $3 / out $4
- 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 | 16,385 | $3 | $4 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.