MODEL PROFILE

Kimi K2 model profile: context, pricing, provider, and next actions

Moonshot AI's Kimi line is currently tracked for Text in -> text out work. Its supply path can continue into a direct key check. Current context 200K, input $0.35, output $1.6. The next natural step is to verify protocol fit, model visibility, and listing readiness.

China model routeKimiText in -> text out

Kimi K2

Moonshot AI's Kimi line is currently tracked for Text in -> text out work. Its supply path can continue into a direct key check.

Alternatives Family route

Provider

Moonshot AI

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

$0.35

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

Output price

$1.6

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

MODEL JUDGMENT

Kimi K2 should not be treated as a brand-name page first. It should be placed back into the real model layer: it comes from Moonshot AI, sits on the China model route, and belongs to the Kimi family.

This model line is best judged through four inputs: modality Text in -> text out, context 200K, prompt cost $0.35, and completion cost $1.6. The real question is whether those four signals support the workflow together.

If the upstream provider already exposes a direct key check, the next valuable move is to test the real key, protocol fit, and model visibility instead of stopping on a static page.

QUICK CHECKS

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 Moonshot AI can fit the protocol stack you already run today.

China-focused model routes should be judged inside China procurement and channel workflows, not as a copy of global defaults.

API & PRICING

PROVIDER

Moonshot AI

DEFAULT API URL

https://api.moonshot.cn/v1

INPUT

$0.35

OUTPUT

$1.6

CONTEXT WINDOW

200K

PROTOCOLS

OpenAI CompatibleKimi

RELATED FAMILIES

KimiKimi K2.5Kimi K2

SAME PROVIDER MODELS

Kimi K2.5

Moonshot AI's Kimi line is currently tracked for Text in -> text out work. Its supply path can continue into a direct key check.

Model snapshot updated on 2026-05-11.

Latest model return

Fresh-release traffic should not stop at the model profile

If this provider is also pushing a newer release, the stronger next move is to reopen that latest-model page with the model profile still in mind.

Kimi K2.5

This provider is also pushing this newer model right now, so it is worth reopening the latest-model angle.

Open latest model page

NEXT ACTIONS

Do not stop at the model name. Move to the next action.

Decision loop

Move model traffic through pricing before the real key check

Once someone is reading a model page, the shortest serious path is provider pricing first, then the read-only key check.

Entry: this model profile

Use the model page as the starting point, not the ending.

1. Read the provider pricing context

Check pricing, model availability, and sell-through context before making a tool or vendor call.

2. Continue into the real key check

Use the real key check to confirm visible models, quota, limits, and risk.

Open key check

Latest-model loop

Turn fresh-model interest into a shorter model decision chain

If someone starts from a new release, the better path is latest-model page first, then pricing, then the real key check on this provider.

Entry: latest-model page

A fresh release is usually the trigger, not the whole decision.

1. Return to this model profile

Use this page to decide whether this exact model is worth deeper time.

2. Read the provider pricing context

Then check price, context, and visible model availability before you move production traffic.

See pricing first

3. Continue into the real key check

Finish by confirming visible models, quota, limits, and risk on a real key.

Run the check

Core routes

Do not strand search traffic on a single model page

After the model read, route people back into checking, the main catalog, provider pricing, and comparison paths so one query turns into deeper browsing.

Check this key

Confirm provider, model visibility, quota, and risk first.

Back to models

Return to the main model table instead of stopping at one SKU.

Open provider

Move into the provider profile for supply-side context and routes.

Open pricing

Put pricing, context, and sell-through signals together.

Latest models

Pull fresh-model intent back into the latest-models hub.

Open compare

Use comparisons only after the choice set has narrowed.

Check the real key first

If you already have a key for this model route, check it before reading deeper.

Model pages help narrow the route, but the highest-value next move is still to confirm provider, protocol, visible models, limits, and risk first.

Run model-route key check

Check Moonshot AI keys

If you already have a real key for this route, test protocol fit, visible models, and listing readiness together.

Open key check

Open Moonshot AI provider profile

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

Open provider profile

Best AI for studying

A practical page for teams trying to improve learning speed, explanation quality, and review rhythm. Clarify the lesson explanation, material summarization, tutoring, and revision planning workflow first, then move into models, providers, or real key checks.

Open use cases

Pilot routes

These pages are in the next sampling lane

They are not being pushed through robots yet. Feed them from strong intent pages first, then decide whether they deserve to return to the public crawl lane.

Model key route

Use the route page to sample callable models, pricing context, limits, and listing readiness around this model.

Open pilot page

Model error route

Use the error page to sample what people actually hit when this model fails in real API workflows.

Open pilot page

RELATED COMPARES

MiniMax vs Kimi

Compare MiniMax and Kimi / Moonshot across productization, long-context use, and workflow storytelling.

USE CASES

Best AI for studying

BEST MODEL PAGES

Best AI model for studying

Lay out the real decision factors for studying first, then move deeper into models, providers, comparison routes, and live key checks.