---
id: "inclusionai/ling-3.0-flash"
also: ["inclusionai/ling-3.0-flash-20260723", "inclusionAI/Ling-3.0-flash", "hf/inclusionAI/Ling-3.0-flash", "vercel/inclusionai/ling-3.0-flash"]
cheapest_list_usd_per_m: "0.021 in, 0.063 out, at novita on openrouter"
cheapest_effective_usd_per_m: "0.0112 in, 0.063 out, at novita on vercel"
context: 262144
max_output: 32768
input: ["text"]
output: ["text"]
released: "2026-07-23"
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["frequency_penalty", "include_reasoning", "logit_bias", "logprobs", "max_tokens", "min_p", "presence_penalty", "reasoning", "repetition_penalty", "response_format", "seed", "stop", "temperature", "tool_choice", "tools", "top_k", "top_logprobs", "top_p"]
endpoints: 6
gateways: "openrouter (3), hf (2), vercel (1)"
no_training: 3
trains: 0
retains_prompts: 0
coding: 50.6000
agentic: 19.3000
---
# inclusionAI: Ling 3.0 Flash

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...