Which Chinese AI APIs can I access through TokenRa?

The catalog covers enabled language, reasoning, image, video, and audio models. Availability changes with configured upstream channels, so the live model directory and console are the source of truth.

Is TokenRa OpenAI compatible?

TokenRa supports OpenAI-compatible requests for applicable text models. Media and task-based models may use asynchronous workflows documented for the enabled channel.

Can I use TokenRa outside China?

TokenRa provides global endpoints intended for developers integrating supported Chinese AI APIs from outside China. Account, model, and regional availability should be confirmed in the console.

How is API usage priced?

Usage is billed according to the active model and channel configuration. Review current rates in the live model directory or console before sending production traffic.

Do I need a separate API key for every model provider?

No. A TokenRa API key can call the models enabled for your account, so you can evaluate and switch models without managing a separate credential for every upstream provider.

How do I choose between DeepSeek, Kimi, GLM, Doubao, and video models?

Start with the workload: text and reasoning, long-context analysis, Chinese-language applications, multimodal creation, or asynchronous video generation. Then compare live availability, model behavior, latency, and cost with your own evaluation set.

Can I switch models without rewriting my application?

Applicable text models share a consistent OpenAI-compatible request shape, so switching often requires changing the model identifier rather than replacing the integration. Provider-specific capabilities still require validation.

Is TokenRa affiliated with the model vendors?

Model and company names belong to their respective owners. TokenRa is an independent API gateway and model access service unless a page explicitly states otherwise.

Global Chinese AI API provider

Chinese AI API Aggregator – One Key for Every Model

Connect to enabled language, reasoning, image, and video models through a single global gateway. TokenRa gives developers one API key, OpenAI-compatible access where supported, and live usage and billing visibility without maintaining a separate integration for every provider.

Explore AI models Create an API key

Usage-based billingGlobal API endpointsUnified model access

Transparent pricing

TokenRa Chinese AI API pricing.

Compare current TokenRa rates before choosing a model for production.

View live pricing

Model	Official price	TokenRa price	Discount
KIMI K2.8	$4.16 /M tokens	$3.35 /M tokens	8x off, save 20%
GPT Image 2.5	$30 /M tokens	$7.16 /M tokens	2.4x off, save 76%
Omen Alpha	$0.65 /M tokens	$0.26 /M tokens	4x off, save 60%
DeepSeek V4.1 Flash	$0.525 /M tokens	$0.42 /M tokens	8x off, save 20%
GLM-5.3-Flash	$0.3125 /M tokens	$0.25 /M tokens	8x off, save 20%
Seedance 2.5	$10.45 /M tokens	$8.88 /M tokens	15% off
Seedance 2.0 Mini	$3.75 /M tokens	$2.44 /M tokens	35% off
Qwen 3.8 Max	$5.38 /M tokens	$4.57 /M tokens	15% off
MiniMax M3	$1.27 /M tokens	$0.95 /M tokens	25% off
Kimi K3	$14.93 /M tokens	$12.69 /M tokens	15% off
GLM-5.2	$4.19 /M tokens	$3.35 /M tokens	20% off
ox-alpha	$0 /M tokens	$0 /M tokens	Free

Usage-based billing with no monthly fee. Official prices are calculated from the listed TokenRa rates and discount percentages; check TokenRa for current model availability and pricing.

Choosing a model

Match the API to the shape of the work.

There is no universal best model. A useful evaluation starts with representative prompts and a measurable acceptance bar. Keep provider names secondary to the output your application actually needs.

Reasoning and coding: compare instruction following, tool use, structured output, and correctness on your real repository or domain tasks.
Long documents and research: test retrieval accuracy, citation behavior, context limits, and consistency across the full input size.
Chinese-language applications: evaluate terminology, tone, localization, and domain-specific knowledge rather than relying on a generic benchmark.
Image and video generation: compare prompt adherence, reference consistency, supported controls, task latency, and output licensing requirements.
Production routing: record latency, error rate, cost, and fallback behavior under the same workload before moving traffic.

Integration guide

Move from one test request to a controlled production rollout.

The gateway keeps the first request familiar, but production readiness still requires explicit model checks, error handling, and usage monitoring.

STEP 01

Create a key and inspect access

Register, create an API key, and open the model directory or console. Confirm that the exact model identifier and capability you intend to call are enabled for your account.

STEP 02

Run a representative evaluation

Send a small, versioned test set through the API. Compare quality, latency, failures, and usage records. For media models, account for asynchronous task creation and polling.

STEP 03

Add limits and observability

Set timeouts and retry rules, protect keys on the server, log request identifiers, and watch spend. Roll out gradually so a model or channel change does not surprise users.

curl https://tokenra.io/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"YOUR_ENABLED_MODEL_ID","messages":[{"role":"user","content":"Summarize this request."}]}'

Pricing and operations

Use live configuration as the source of truth.

AI API pricing and availability can change by model version, channel, and deployment. TokenRa shows the active information in the model directory and console so you can evaluate the configuration you will actually use.

Review the current input, output, media, or task billing unit before testing a new model.
Confirm that an advertised capability is enabled on your account before building around it.
Track usage by key and workload so model comparisons include total operating cost.
Re-run critical evaluations when switching model versions or upstream channels.
Keep a fallback path for production features that depend on a single model family.

Frequently asked questions

Chinese AI API access, integration, and billing.

These answers describe the gateway. The live console remains authoritative for model-specific availability and price.

What is a Chinese AI API provider?

It gives developers programmatic access to AI models developed by providers such as DeepSeek, Moonshot AI, Zhipu AI, ByteDance, and others. TokenRa combines enabled options behind one gateway.

Which Chinese AI APIs are available?

The catalog covers enabled text, reasoning, image, video, and audio capabilities. The exact list changes with configured channels, so check the live model directory.

Is the API OpenAI compatible?

Applicable text models support an OpenAI-compatible request shape. Media generation and other task APIs may require an asynchronous, capability-specific workflow.

Can developers use TokenRa outside China?

TokenRa offers global endpoints for supported Chinese AI APIs. Confirm account, regional, and model availability in the console before production use.

How is usage priced?

Billing follows the active model and channel configuration. Review the current unit and rate in the directory or console rather than relying on a static page.

Do I need one key per provider?

No. One TokenRa key can call the models enabled for the account, reducing separate credentials and making controlled model comparisons easier.

How should I choose a model?

Use a representative evaluation set. Compare correctness, latency, context behavior, media controls, error rate, and total cost for the workload you plan to ship.

Can I switch models later?

For compatible text models, switching often means changing the model identifier. Always retest prompts and provider-specific features because behavior is not identical.

Is TokenRa a model vendor?

TokenRa is an independent gateway and access service. Model and company names are owned by their respective rights holders unless explicitly stated otherwise.