LLM Reference
OpenRouter

Using Ling-2.6-Flash on OpenRouter

Implementation guide · Ling 2.6 · InclusionAI

ServerlessOpen Source

OpenRouter exposes Ling-2.6-Flash through model ID inclusionai/ling-2.6-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call inclusionai/ling-2.6-flash — see the documentation for request format.
  3. 3
    You'll be billed $0.01/1M input, $0.03/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.01
Output tokens$0.03

Capabilities

JSON / Tool useStructured Outputs

About Ling-2.6-Flash

InclusionAI's efficient 104B MoE instruct model with only 7.4B active parameters per token. Purpose-built for agentic workflows requiring fast responses and high token efficiency. Achieves 59.3% on GPQA Diamond. Nearly double the Artificial Analysis Intelligence Index score of comparable open-weight models. Available free on OpenRouter (inclusionai/ling-2.6-flash:free).

Model Specs

Released2026-04-21
Parameters104B (7.4B activated)
Context262k
ArchitectureMixture of Experts

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA