Ling 3.0 Flash

InclusionaiMCP Tool CallReasoning
inclusionai/ling-3.0-flashOpen Weights

Hybrid-linear MoE reasoning model with 124B total and 5.1B active parameters for efficient agents

Benchmark Pricing$0.07 / 1M in$0.22 / 1M out$0.01 cache read
Context: 262,144 tokens•Max Output: 32,768 tokens•Released: 2026-07-23

TECHNICAL SPECIFICATIONS

Context Window262,144262.1K tokens
Max Output32,76832.8K tokens
LicenseMITSelf-hostable
Input Modalities
Text
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ Ling 3.0 Flash natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 262,144 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.

API CALL INVOCATION EXAMPLE

// Example: Calling Ling 3.0 Flash via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.INCLUSIONAI_API_KEY,
});

const response = await client.chat.completions.create({
  model: "inclusionai/ling-3.0-flash",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);

PRICING BY PROVIDER

9 providers
NanoGPTinclusionai/ling-3.0-flash:thinking
$0.07 / $0.22$0.01 cache
Novita AIinclusionai/ling-3.0-flash-sante
$0.07 / $0.22$0.01 cache
LLM Gatewaynovita/ling-3.0-flash
$0.06 / $0.18$0.01 cache
AIHubMixling-3.0-flash-free
$0.00 / $0.00
Vercel AI Gatewayinclusionai/ling-3.0-flash-sante
$0.07 / $0.22$0.01 cache
OpenCodeling-3.0-flash-free
$0.00 / $0.00$0.00 cache
Kilo Gatewayinclusionai/ling-3.0-flash
$0.06 / $0.18$0.01 cache
DevPass (LLM Gateway)ling-3.0-flash
$0.06 / $0.18$0.01 cache
OpenRouterinclusionai/ling-3.0-flash
$0.02 / $0.06$0.00 cache

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.01 / 1M tokens, saving up to 80% on repetitive MCP tool definitions and system instructions.