Ling 2.6 Flash

ChatInput: TextReleased Apr 21, 2026

Built by inclusionAI (Ant Group) · China · github.com/inclusionAI

Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....

How to use

model: "inclusionai/ling-2.6-flash"

Cap quality here and save

Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.

{
  "model": "celon/auto",
  "celon": {
    "anchor": "inclusionai/ling-2.6-flash",
    "savings_target": 0.4
  }
}

Naming a model directly gets you that model — savings controls don't apply.

Context

262K

Max output

33K

Input $/1M

$0.10

Output $/1M

$0.30

Features

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Serving providers

Novita

Providers

Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.

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Performance

Measured latency (lower is better) and throughput (higher is better) per provider.

Speed

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