InclusionAI Ling models: Flash with finance and health variants

InclusionAI
Services found: 4
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
1

Ling 3.0 Flash Fin

InclusionAI
Text & chatVisionLow latency
$0.06 / $0.18262.1K tokensAPI only0.18View
2

Ling 3.0 Flash Sante

InclusionAI
Text & chatVisionLow latency
$0 / $0262.1K tokensAPI only0View
3

Ling 3.0 Flash

InclusionAI
Text & chatVisionLow latency
$0.021 / $0.063262.1K tokensAPI only0.063View
4

Ling 3.0 Flash VL

InclusionAI
Text & chatVisionVideo
$0.02 / $0.059256K tokensAPI only0.059View

Browse by need

InclusionAI ships the Ling 3.0 Flash line with domain-tuned variants — Fin for financial text and Sante for healthcare — alongside the general model at $0.021 input and $0.063 output per 1M tokens.

Domain variants are unusual at this price. Where a general model needs heavy prompting to stay inside a vocabulary, a tuned variant starts there, which matters for terminology-sensitive extraction and classification.

Domain variantsSeparate builds for finance and healthcare.
Very low ratesGeneral model under $0.07 per 1M output.
Flash-classBuilt for volume rather than deep reasoning.

Models from this vendor

How to choose

  • Benchmark against a comparable model from a larger vendor before committing production traffic — line-ups this size get less independent testing.
  • Start with Ling 3.0 Flash VL at $0.02 / $0.059 per 1M tokens; it is the cheapest entry point here.
  • Move up to Ling 3.0 Flash Fin at $0.06 / $0.18 only where the cheaper variant visibly fails, not by default.
  • Check the context window against your longest input — the largest here is Ling 3.0 Flash Fin at 262.1K tokens.

Common mistakes

Assuming parity with the majorsOn the hardest tasks the frontier labs remain ahead; compare on your own cases.
Skipping the exit planA smaller vendor can change terms or availability faster. Identify a fallback model before you depend on this one.

Who this suits

Cost-driven teamsLing 3.0 Flash Sante at $0 / $0 undercuts most mainstream options.
EvaluatorsA useful comparison point when benchmarking the models against larger line-ups.
Regional usersRelevant where this vendor platform or language coverage matters more than raw capability.

Related filters

Text & chat228 models for text generation and chat
Vision156 models that read images
Low latency73 small, fast models for volume
MultilingualAll 239 models work beyond English
Alibaba (Qwen)34 models in this rating
OpenAI30 models in this rating
Google DeepMind17 models in this rating

Frequently asked questions

What are Fin and Sante?

Domain-tuned variants for financial and healthcare text.

Is Ling open weight?

Parts of the family have been published; check the specific model.

Is it suitable for general chat?

It is optimised for volume and domain work rather than open-ended conversation.

How many InclusionAI models are in this rating?

4, covering text & chat, vision, low latency.

Is InclusionAI a good default choice?

For most teams no — start with a mainstream vendor and use this one where its pricing or specialisation gives a concrete advantage.

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