prices synced 2026-07-28
I

Ling-2.6-flash

inclusionAI · Released Apr 2026

Compare

Ling-2.6-flash is a 104B parameter model from inclusionAI with 7.4B active parameters, designed for fast inference and efficient token usage in agent applications.

Strengths
The sparse architecture and selective activation provide fast response times and reduced computational overhead compared to dense models of similar scale.
Best for
Real-time agent systems and applications where low latency and token efficiency are priorities.
Limitations
With only 7.4B active parameters, it may struggle with complex reasoning tasks or specialized domains that benefit from larger model capacity.

Input / 1M

$0.01

Output / 1M

$0.03

Cached input / 1M

$0.002

Context window

262K

Price history

Price per 1M tokens over timeOutput $0.03; Input $0.01 as of Jun 2026.$0$0.01$0.02$0.03Output on 11 Jun 2026: $0.03Out $0.03Input on 11 Jun 2026: $0.01In $0.01Jun 2026

Snapshots

Effective Input Output Cached in Note Source
11 Jun 2026 $0.01 $0.03 $0.002 Imported from OpenRouter openrouter.ai

More from inclusionAI

Report a problem