IN
LlmOne call. Same key. Same bill.
DeepSeek V4 Flash is a 284-billion-parameter Mixture-of-Experts LLM that activat
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.
Capabilities
Context and output
Modes and reasoning
reasoning_content field before the final answer, improving accuracy[^2]reasoning_effort with levels high and max[^2]Structured output and completions
API compatibility
https://api.deepseek.com[^1]https://api.deepseek.com/anthropic[^1]Throughput and pricing
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/deepseek/deepseek",
prompt: "neon city, rain, tracking shot",
}); from coinis import Coinis
coinis = Coinis(os.environ["COINIS_API_KEY"])
job = coinis.llm.generate(
model="models/deepseek/deepseek",
prompt="neon city, rain, tracking shot",
) {
"id": "gen_8fa2c1",
"status": "succeeded",
"model": "models/deepseek/deepseek",
"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.
Production coding assistants DeepSeek V4 Flash is optimized for fast, high-throughput code generation and completion, making it a strong fit for IDE plugins, code review bots, and developer copilots.[^1]
High-volume chat and conversational AI Its low per-token cost and 2,500-request concurrency cap make it practical for production chat backends that need to handle thousands of simultaneous users without runaway token spend.[^1]
Long-context document and codebase analysis The 1M-token context window lets you drop entire codebases, legal documents, or research corpora into a single prompt and synthesize answers without chunking.[^1]
Multi-step agentic workflows Thinking mode combined with Tool Call support enables complex, multi-turn agent loops. The model reasons through subtasks before executing tool calls, reducing error rates on compound instructions.[^2]
RAG pipelines with repeated context Applications that re-send large system prompts or knowledge-base chunks on every call benefit the most from cache-hit pricing. At $0.0028 per 1M cached input tokens on the wholesale rate, input cost on repeated context is a fraction of the standard rate.[^1]
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 .