Ling-2.6-flash

by InclusionAI

Ling-2.6-flash is InclusionAI's efficiency-focused entry in the Ling-2.6 family, with 104 billion total parameters and only 7.4 billion active per token through a highly sparse Mixture-of-Experts design. Released in April 2026 under the MIT license, this open-weight model aims for competitive quality while sharply lowering compute and token consumption versus denser alternatives. Designed for fast inference and token efficiency, Ling-2.6-flash performs well on agent-focused benchmarks including BFCL-V4, TAU2-Bench, SWE-Bench Verified (61.2%), and PinchBench, while staying solid on general knowledge, mathematical reasoning, and instruction following. Its hybrid linear attention design combines Multi-Head Latent Attention with Lightning Linear, and the model can reach up to 340 tokens per second on a multi-GPU setup. The model is built for tool use, multi-step planning, and task automation, and InclusionAI reports it consuming only around 15M tokens across the full Artificial Analysis evaluation suite while staying competitive. Ling-2.6-flash is available on Hugging Face, supports a 262K context window, and runs on SGLang and vLLM.

Key info

Input
Output
Features
Context window
262K
Max output
33K
Input price
$0.10 /1M
Output price
$0.30 /1M
  • US residency available
  • Zero data retention via Enterprise
  • No training by default
  • GDPR DPA available

Available routes

Ling-2.6-flash runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USEnterpriseNo$0.10$0.30

Uptime and availability

Ling-2.6-flash runs on a single route through the Opper gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Ling-2.6-flash has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Novita β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Abuse monitoring
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
SCCs

Get started

Call Ling-2.6-flash through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β€” Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.ai/v3/compat",
});
const completion = await client.chat.completions.create({
model: "novita/inclusionai/ling-2.6-flash",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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