inclusionAIListed Oct 13, 2026

Ling-3.1-flash

Switch reasoning on or off; hybrid linear attention and multi-token prediction support long-context self-hosted inference.

Source description

Ling-3.1-flash, an upgraded native hybrid reasoning model designed for complex, real-world tasks. With 560B total parameters, 25B active parameters per token, and a 1M-token context window, Ling-3.1-flash builds upon Ling-3.0-flash with improvements in architecture, performance on real-world capabilities.

Context window262.1K
Provider endpoints2
Benchmark results0
Measured performance

Benchmark results

All leaderboards ↗
—

No published results in this index yet

Scores appear here when an evaluation matches this exact model.

Access & cost

Prices across providers

2 quotes

Your token mix

USD · listed token rates

novita

via Hugging Face
Input
$0.30
Output
$0.90
USD / 1M tokens
262.1K contextPrice source ↗Checked Oct 18, 2026
Endpoint IDinclusionAI/Ling-3.1-flash
Input
$0.30
Output
$0.90
USD / 1M tokens
262.1K contextPrice source ↗Checked Oct 18, 2026
Endpoint IDinclusionAI/Ling-3.1-flash

Model specifications

Developer
inclusionAI
Modality
Language
Context
262,144 tokens
Maximum output
Not reported
Weights
Open weights
Provider listed
Oct 13, 2026
First discovered
Oct 16, 2026

Exact identities

  • huggingfaceinclusionAI/Ling-3.1-flash
  • deepinfrainclusionAI/Ling-3.1-flash

Sources

Updated Oct 18, 2026

More from inclusionAI

View all ↗
inclusionAIListed Sep 4

Ling-3.0-flash-VL

The multimodal version built on Ling-3.0-flash — 124B total / ~5.5B active per token, with native text, image, and video understanding. It’s mainly designed for multimodal agentic workflows, long-context…

262.1K contextImage inputVideo inputNo reported score
No reported score
$0.06in$0.18out/ 1M tokens · USDdeepinfra · via Hugging Face · 5 endpoints