---
id: "inclusionai/ling-3.0-tiny"
also: ["inclusionai/ling-3.0-tiny-20260806", "inclusionAI/Ling-3.0-tiny", "requesty/inclusionai/ling-3.0-tiny"]
cheapest_list_usd_per_m: "0.015 in, 0.045 out, at antdigital/fp8 on openrouter"
cheapest_effective_usd_per_m: "0.0074 in, 0.0446 out, at antdigital/fp8 on openrouter"
context: 262144
max_output: 250000
input: ["text"]
output: ["text"]
released: "2026-08-06"
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["frequency_penalty", "include_reasoning", "logprobs", "max_tokens", "presence_penalty", "reasoning", "response_format", "seed", "stop", "structured_outputs", "temperature", "tool_choice", "tools", "top_logprobs", "top_p"]
endpoints: 2
gateways: "openrouter (1), requesty (1)"
no_training: 2
trains: 0
retains_prompts: 0
coding: 26.5000
agentic: 4.4000
---
# inclusionAI: Ling 3.0 Tiny

Ling-3.0-tiny is an efficient 7.9B parameter MoE model from inclusionAI with only 1.3B active parameters per token. Built for responsive agents, reliable instruction following and multi turn conversation, with a 256K context window, native function calling, prompt caching and switchable Thinking and Instant modes.