SEO batch 1 · model long-tail page

Yi Large Turbo | structured output guide

Yi Large Turbo structured output guide should connect capability, pricing, context, callable evidence, and monitoring instead of stopping at the model name.

Open model profile Check a key

Model signal card

Provider

01.AI / Yi

Start with the supply line behind the model before you move into deeper buying or key work.

Context window

200K

Context length changes whether the model fits short tasks, long documents, or knowledge workflows.

Input price

$0.30

Input price usually matters more for high-volume calling and batch workloads.

Output price

$1.2

Output price matters more for writing-heavy, support, and long-answer workflows.

Start with the job this model solves

Yi Large Turbo should not be treated as a brand-name page first. It should be placed back into the real model layer: it comes from 01.AI / Yi, sits on the China model route, and belongs to the Yi family.

Ask first whether you truly need a 200K context window or are just reacting to the phrase “long context.”
Then ask whether your workload cares more about Text in -> text out ability or about price band and delivery stability.
Then ask whether 01.AI / Yi can fit the protocol stack you already run today.

Then read the real decision signals

This model line is best judged through four inputs: modality Text in -> text out, context 200K, prompt cost $0.30, and completion cost $1.2. The real question is whether those four signals support the workflow together.

Model: Yi Large Turbo
Provider: 01.AI / Yi
Context: 200,000
Input price: $0.30 / 1M tokens
Output price: $1.20 / 1M tokens

Finally move into the next action

If the upstream route is still catalog-only, the value of this page is to connect model, provider, and workflow before you chase a hot model blindly.

Open 01.AI / Yi provider profile
Open real workflows

Next routes

Yi Large Turbo model profile | context, pricing, provider, and next actions

Inspect Yi Large Turbo through context window, pricing, provider route, and the next move into comparison or key checking.

Open 01.AI / Yi provider profile

Do not stop at the model name. Pull provider, protocol, Base URL, and supply position back into the decision.

key checking guide

Yi Large Turbo key checking starts with provider identity, base URL, visible models, and risk before asking for any full key.