Lower token spend
Use early access pricing examples for GPT, Gemini, and Claude, then test lower-cost model families where the workflow allows it.
TokenAir
One API change. More models. Lower token costs.
Point your OpenAI-compatible client to TokenAir. Access GPT, Claude, Gemini, and lower-cost Chinese / open-source model families such as DeepSeek, Qwen, GLM, MiniMax, and Kimi. Keep premium models where quality matters, and test more affordable options for high-volume workflows.
For builders dealing with AI token bills, agent costs, RAG spend, and migration friction.
Early access pricing examples
Compare early access examples for GPT, Gemini, and Claude, then explore lower-cost model families you can use as TokenAir opens.
Google Gemini80%of official API list
OpenAI GPT85%of official API list
Anthropic Claude95%of official API list
More model options for lower-cost usage
TokenAir will make it easier to try cost-efficient model families for generation, RAG, agents, speech, image, and video through one familiar API workflow.
Text, coding & agents
DeepSeekQwenGLM / ZhipuMiniMaxKimi / MoonshotStepFunLingDT / Ling / Ring
Image & video
WanViduHappyHorseQwen Image
Speech & retrieval
Qwen ASR/TTSText EmbeddingQwen Rerank
Examples apply to selected models and compare against standard official API list pricing. Batch, cache, enterprise, regional, and volume discounts may differ. Final model-specific pricing is shown before paid usage.
See the AI API market before joining.
Not ready to join early access yet? Start with the source-backed Market Map, then model your workflow in Cost & Routing.
Decision map
AI Model Market Map
Compare official pay-as-you-go routes using the same workload assumptions, then share or export the exact view.
More models, lower costs, and a familiar API.
Keep quality where it matters
Reserve premium models for high-risk steps and evaluate lower-cost Chinese / open-source models for routine, high-volume work.
Migrate with less friction
Keep the OpenAI-compatible workflow your team already knows, including SDK patterns and request structure.
Start with one API endpoint change.
Point an OpenAI-compatible client to the TokenAir base URL, use your TokenAir API key, and validate one workflow before expanding traffic.
// Keep your existing OpenAI SDK workflow
const client = new OpenAI({
apiKey: process.env.TOKENAIR_API_KEY,
baseURL: "https://api.tokenair.ai/v1"
});
await client.chat.completions.create({
model: "gpt-5-mini",
messages: [{ role: "user", content: "Hello TokenAir" }]
});A good fit for
- AI SaaS products
- Agent platforms
- Customer support automation
- Coding and research tools
- Internal enterprise AI workflows
After you join
- We confirm your request and keep the first step lightweight.
- We send pricing notes, setup instructions, and model-coverage updates as early access opens.
- If your use case is a strong fit, we may ask for optional details before your test slot is ready.
Join early access in 15 seconds
Email and your biggest cost problem are enough. Add more context only if you want more relevant pricing and setup notes.
FAQ
Is TokenAir available today?
TokenAir is preparing early access before the public API launch. Join the watchlist to receive updates and access details.
Can I start with one API change?
Yes. Start by pointing an OpenAI-compatible client to the TokenAir base URL and using your TokenAir API key, then validate the features and workflow quality you rely on.
Are these prices guaranteed?
The listed percentages are early access examples. Final pricing will be shown before you purchase or start paid usage.
Which models are prioritized?
We are prioritizing GPT, Claude, Gemini, plus China and open model families such as DeepSeek, Qwen, GLM, MiniMax, Kimi, StepFun, Ling/Ring, Wan, Vidu, HappyHorse, Qwen speech, embedding and rerank models.
Can high-volume teams discuss volume pricing?
Yes. High-volume usage is exactly where TokenAir is designed to help.
Quality AI within everyone's reach.
Join early access to test a lower-cost model mix through one OpenAI-compatible API.