Inference
Frontier models. Flat rate.
No meter.
Kimi K2.6 and K3 behind OpenAI- and Anthropic-compatible APIs, with Qwen embeddings + TTS included. Up to 100 million tokens a day — your bill never moves.
const client = new OpenAI({
baseURL: "https://api.hypercli.com/v1",
apiKey: process.env.HYPER_KEY });Works with OpenAI and Anthropic SDKs, LangChain, LlamaIndex — anything speaking /v1/chat/completions or /v1/messages.
What would your volume cost elsewhere?
Published list prices, July 2026. Drag to your daily usage.
Assumes 80% input / 20% output at list prices, 30-day month. Solo includes 25M tokens/day, Team 50M, Pro 100M — pooled across your agents and your API key.
Every model, one key.
Open weights, frontier results. Numbers below are published benchmarks, not our marketing.
Standard · chat · vision · tools
Kimi K2.6
The workhorse. A 1T-parameter MoE built for long-horizon coding and autonomous execution — it beat GPT-5.5 at coding on release. 256K context, agent swarms to 300 sub-agents.
Advanced · chat · vision · tools
Kimi K3
The heavyweight. 2.8T parameters — the largest open model ever released — reading entire repos in a single 1M-token prompt. Beats Fable 5 on Terminal-Bench; #1 in blind frontend testing.
Included · memory · voice
Qwen Embeddings + TTS
The quiet ones. Dense open models running your embeddings, vector search, agent memory, and voice — at no extra cost.
Two ways in.
Same models, same flat rate. Start where you are.
Just the API
You have an app. Point it here. No migration, no new SDK — your OpenAI or Anthropic code runs unmodified.
$ curl https://api.hypercli.com/v1/chat/completions \
-H "Authorization: Bearer $HYPER_KEY" \
-d '{"model":"kimi-k2.6","messages":[...]}'The whole agent
Same inference — plus a cloud machine that's always on, with browser, desktop, voice, media, memory, and every channel. The models are the brain; this is the body.
$ hyper agents create my-agent
✓ live on its own machineQuestions you should be asking.
- 100M tokens a day — what's the catch?
- There isn't a hidden one. The allowance resets daily, and we can offer it flat because we run open models on a global fabric of aggregated GPU capacity. Fair-use terms apply to automated abuse (key sharing, resale), not to heavy legitimate use.
- What happens if I hit the cap?
- Requests throttle until the daily reset — you never get a surprise bill. Need more headroom? Add another key and keep going: each subscription carries its own allowance, so scaling up is a checkout, not a negotiation.
- Is it really OpenAI-compatible?
- Yes — and Anthropic-compatible too. Standard /v1/chat/completions and /v1/messages surfaces with streaming, tool calling, and vision. OpenAI SDKs, Anthropic SDKs, LangChain, and LlamaIndex all work by changing the base URL and key.
- Do you train on my data?
- No. Prompts and completions are not used for training.
- Why open models instead of a frontier lab API?
- Kimi K2.6 beats GPT-5.5 at coding, and Pro gets the frontier K3. Open weights mean no vendor lock-in — the models that run your workload are public, so you can verify claims and always have an exit.
- API key vs. full agent — which should I pick?
- If you're adding inference to an existing app, take the key. If you want an always-on agent with a browser, voice, memory, and channels, deploy the agent — and you can add the other later on the same account.
Stop counting tokens.
Frontier inference, one flat bill. Live in minutes either way.