Model comparison
Ling-2.6-flash vs Ring-2.6-1T
Compare Ling-2.6-flash and Ring-2.6-1T: input/output $/Mtoken, context window, modalities, and license. OpenRouter-synced pricing.
Inclusionai
Ling-2.6-flash
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, st
Inclusionai
Ring-2.6-1T
Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency.
| Metric | Ling-2.6-flash | Ring-2.6-1T |
|---|---|---|
| Provider | Inclusionai | Inclusionai |
| Context window | 262,144 | 262,144 |
| Input $/Mtok | $0.010 | $0.075 |
| Output $/Mtok | $0.030 | $0.625 |
| Modalities | text | text |
| License | closed | closed |
Quick take
On input price, Ling-2.6-flash is cheaper at $0.010/Mtok. For context window, Ling-2.6-flash leads with 262,144 tokens.
Pick based on your workload: high-volume cheap inference vs long-document / agent loops. Enterprise DNA can wire either model into Omni with evals, secrets, and job orchestration.