by LiquidAIFast
LFM3 1.7B
Compact 1.7B agent model with 256K context — tool calling, structured outputs, and built-in reasoning before answer text. Text-only; ideal for cheap subagents and high-volume classification.
lfm-3-1.7bGenerate chat completions with this model.
/api/v1/chat/completionsGET /api/v1/models?type=chat{
"model": "lfm-3-1.7b",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"stream": false,
"thinking": true,
"max_tokens": 4096
}curl -X POST https://kunya.ai/api/v1/chat/completions \
-H "Authorization: Bearer kunya_YOUR_API_KEY" \
-H "Content-Type: application/json"
-d '{"model":"lfm-3-1.7b","messages":[{"role":"user","content":"Hello!"}],"stream":false,"thinking":true,"max_tokens":4096}'Inception
Fastest reasoning diffusion LLM — parallel token generation (~140 tps), tunable reasoning, tool calling, and JSON schema output. Built for search agents, voice pipelines, and coding subagents.
API DocumentationNVIDIA
30B MoE (3B active) — high-throughput agentic workloads, tool calling, 1M context. Free on OpenRouter (rate-limited). Newer/fast tier vs Nemotron 3 Nano.
API DocumentationDeepSeek
Now served by V4.1 Flash 1017 — 1M context, thinking + non-thinking modes, tool calls
API DocumentationMiniMax
M2.7 at ~100 tps — same performance, faster and more agile
API Documentation