Last refreshed 2026-05-22. Next refresh: weekly.
Why use Ling-2.6-Flash on Novita AI?
Novita AI offers Ling-2.6-Flash with pay-as-you-go pricing at $0.10/1M input tokens. Novita AI offers a GPU-based inference API for image, video, and language model generation with a broad catalog of open-source models.
Compare Ling-2.6-Flash across 3 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: ling-2.6-flashling-2.6-flashRequest example
Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare Ling-2.6-Flash Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.08 | $0.24 |
| Novita AI | $0.10 | $0.30 |
| Novita AI | $0.10 | $0.30 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.30 |
Capabilities
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).
FAQ
What does Ling-2.6-Flash cost on Novita AI?
On Novita AI, Ling-2.6-Flash costs $0.1 per 1M input tokens and $0.3 per 1M output tokens.
What is the context window for Ling-2.6-Flash on Novita AI?
Ling-2.6-Flash supports a 262,144 token context window on Novita AI.
How does Novita AI compare to other Ling-2.6-Flash providers?
Ling-2.6-Flash is available from 3 providers. The cheapest input pricing is $0.08/1M tokens from OpenRouter.
What API model ID do I use for Ling-2.6-Flash on Novita AI?
Use the model ID ling-2.6-flash when calling Novita AI's API.
Who created Ling-2.6-Flash?
Ling-2.6-Flash was created by InclusionAI as part of the Ling 2.6 model family.
Is Ling-2.6-Flash open source?
Ling-2.6-Flash is open source under Apache 2.0 according to the seed data.