IN
LlmOne call. Same key. Same bill.
Sonnet, Opus, and Haiku with one API key.
One API key. Every model.
One model. Three ways to call it. Same key, same bill.
One call. Same key. Same bill.
One call. Same key. Same bill.
One call. Same key. Same bill.
One call. Same key. Same bill.
One call. Same key. Same bill.
One call. Same key. Same bill.
Capabilities
Context windows
Reasoning and coding
Tool use
Cost optimizations
Tokenizer note
One key. One base URL. Same SDK shape you already use.
# 1. set your key
export COINIS_API_KEY="sk_live_..."
# 2. call the model
curl https://api.app.coinis.com/v1/llm/generate \
-H "Authorization: Bearer $COINIS_API_KEY" \
-d '{"prompt":"neon city, rain, tracking shot"}' import { Coinis } from "@coinis/sdk";
const coinis = new Coinis(process.env.COINIS_API_KEY);
const job = await coinis.llm.generate({
model: "models/anthropic/claude-sonnet-4",
prompt: "neon city, rain, tracking shot",
}); from coinis import Coinis
coinis = Coinis(os.environ["COINIS_API_KEY"])
job = coinis.llm.generate(
model="models/anthropic/claude-sonnet-4",
prompt="neon city, rain, tracking shot",
) {
"id": "gen_8fa2c1",
"status": "succeeded",
"model": "models/anthropic/claude-sonnet-4",
"output": {
"image_url":
"https://cdn.coinis.com/gen_8fa2c1.mp4"
,
"format": "mp4"
},
"tokens_used": 10
} Already on another provider's SDK? Change the host. Keep the call.
One wallet across every model. No API accounts to juggle.
No credit card.
1 token = $0.10 pay-as-you-go. Less on a plan.
Unified API across video, image, audio, and LLM.
Async queue plus webhooks. Batch at scale.
Ship it under your brand. Outputs are yours.
Prompt to platform-native clip in minutes.
One generation, every aspect ratio.
Authentic selfie-style ads, on brand.
Autonomous coding agents and long-running tasks. Claude Opus 4.7 Point Opus 4.7 at a multi-step engineering problem and walk away. It is designed for asynchronous pipelines where tasks unfold over time, across large codebases and multi-stage debugging runs.[^3]
Codebase navigation, refactoring, and document drafting. Claude Sonnet 4.6 Sonnet 4.6 covers the daily workload: iterative code review, refactoring, navigation across a live repo, and producing polished written deliverables from a long brief.[^4]
Long-context research and analysis over 500K-token corpora. Claude Sonnet 4.6 Load an entire contract set, financial dataset, or research corpus into the 1M-token window. Sonnet 4.6 ranks highly in Finance, Legal, Health, and Academia categories for deep-context analysis.[^10]
High-volume support ticket automation and orchestration sub-agents. Claude Haiku 4.5 Haiku 4.5 is the fast, low-cost tier built for parallelized sub-agent execution and real-time chat. Route compliance checks, ticket classification, and ad copy generation through it to keep pipeline costs low.[^11]
Real-time chat and latency-sensitive UX. Claude Haiku 4.5 When response speed matters more than depth, Haiku 4.5 delivers extended thinking at a fraction of the cost of upper tiers. It is the right choice for consumer-facing chat interfaces and live orchestration hops.[^5]
Renders in seconds. Set a seed. Get the same frame back.
Outputs are yours. Sell them.
Safe for paid ads.
Your prompts are never used for training.
Start free
Start free. 15 tokens a week. No card.
Generate on CoinisNo credit card.
Pricing and capabilities verified 2026-05-26. Read the docs .