GPT-3.5-turbo-instruct
GPT-3.5-turbo-instruct on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.
At a glance.
| Provider | OpenAI |
| Family | gpt-3.5 |
| Released | — |
| License | Proprietary |
| Context window | — |
| Max output | — |
| Modalities | text |
| Tool calling | Yes |
| Reasoning mode | No |
| Caching | none |
| Batch discount | 50% off |
What reuse looks like here.
Pricing, context, and capabilities for GPT-3.5-turbo-instruct are live, but it is outside the flagship set Zumik benchmarks in depth, so measured reuse, capture, and warm TTFT are not shown yet. Run a workload estimate or route it by id to start collecting traces.
Same OpenAI client, this model.
from openai import OpenAI
client = OpenAI(base_url="https://api.zumik.ai/v1", api_key="zk_live_...")
r = client.responses.create(
model="gpt-3-5-turbo-instruct",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseGPT-3.5-turbo-instruct, answered.
How much does GPT-3.5-turbo-instruct cost?
GPT-3.5-turbo-instruct is an open-weights model routed through OpenAI. It is priced on the host's serverless size tier rather than a single published per-token list price, so it shows "—" here until profiled.
What is GPT-3.5-turbo-instruct's context window?
GPT-3.5-turbo-instruct supports a —-token context window.
Run GPT-3.5-turbo-instruct with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.