Model capability probe

OpenAI: GPT-3.5 Turbo 16k | embeddings

Whether OpenAI: GPT-3.5 Turbo 16k supports embeddings cannot be decided from the name alone. Check model ID openai/gpt-3.5-turbo-16k, provider OpenAI, catalog params, modality, a lightweight runtime probe, and the error body together.

Model

openai/gpt-3.5-turbo-16k

OpenAI: GPT-3.5 Turbo 16k

Provider

OpenAI

62 models in catalog

Capability

embeddings

Catalog signal

runtime probe required

Context: 16,385

Capability probe summary

Model

openai/gpt-3.5-turbo-16k

Capability

embeddings

Catalog signal

runtime probe required

Read-only check. Detection data burns after 5 minutes.

How to judge this capability

Whether OpenAI: GPT-3.5 Turbo 16k supports embeddings cannot be decided from the name alone. Check model ID openai/gpt-3.5-turbo-16k, provider OpenAI, catalog params, modality, a lightweight runtime probe, and the error body together.

Model: openai/gpt-3.5-turbo-16k
Provider: OpenAI
Capability: embeddings

How to prove it during checking

Read-only check. Detection data burns after 5 minutes.

Start with the catalog signal: runtime probe required, then verify with a real key in read-only mode.
The capability probe must bind model ID openai/gpt-3.5-turbo-16k; do not test another model from the same provider.
embeddings · supports frequency_penalty · supports logit_bias · supports logprobs · supports max_completion_tokens

Next action

OpenAI: GPT-3.5 Turbo 16k embeddings should turn into an operator action: confirm sale tags, fill the capability matrix, change route, suggest a fallback model, or mark unsupported for now.

Read-only check. Detection data burns after 5 minutes.
Catalog signal: runtime probe required
Context: 16,385

Open key checker

Read-only check. Detection data burns after 5 minutes.

Open models

OpenAI: GPT-3.5 Turbo 16k

Open providers

OpenAI