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Is there an AI for this?

Model

Ling 3.0 flash

Recorded as suitable for chat, rag, zh, multilingual.

Source
Model registry API
Verified
19 Sep 2026
Confidence
High

01What this is

Author
inclusionAI
Family
Ling 3.0
Task
text-generation
Hugging Face
inclusionAI/Ling-3.0-flash
OpenRouter
inclusionai/ling-3.0-flash
Also known as
Ling 3.0 flash, ling-3.0-flash, inclusionai ling

02Registry facts

19 Sep 2026
LicenceFACT

mit

FreshRetrieved 19 Sep 2026
ParametersFACT

127.5B

FreshRetrieved 19 Sep 2026
Context lengthFACT

not returned by the registry

Evidence not verified
Downloads (30 days)FACT

16,134

FreshRetrieved 19 Sep 2026
LikesFACT

415

FreshRetrieved 19 Sep 2026
GatedFACT

no

FreshRetrieved 19 Sep 2026

Model

downloadsFACT

16134

Verification may be outdatedRetrieved 19 Sep 2026
gatedFACT

false

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · DeepInfraFACT

131072

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · NovitaFACT

262144

Verification may be outdatedRetrieved 19 Sep 2026
likesFACT

415

Verification may be outdatedRetrieved 19 Sep 2026
model licenseFACT

mit

Verification may be outdatedRetrieved 19 Sep 2026
parameter countFACT

127486405600

Verification may be outdatedRetrieved 19 Sep 2026

Pricing

hosted price completion per m · DeepInfraFACT

0.1800

AgeingRetrieved 19 Sep 2026
hosted price completion per m · NovitaFACT

0.0630

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · DeepInfraFACT

0.0600

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · NovitaFACT

0.0210

AgeingRetrieved 19 Sep 2026

Other

last modifiedFACT

2026-09-04T05:41:09.000Z

Verification may be outdatedRetrieved 19 Sep 2026

03VRAM by quantisation

ASSESSMENT

Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: 127.5B parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).

Decimal GB (10⁹ bytes), matching how GPU memory is advertised.
QuantisationWeightsTotal
bf16bf16 is two bytes per weight, the same arithmetic as fp16.254.97 GB310.51 GB
fp8127.49 GB163.9 GB
int463.74 GB90.59 GB

What this estimate assumes

  • Weights: 127.5B parameters × 2 bytes per parameter (fp16) = 254.97 GB.
  • No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.459 MB per token, from extrapolated above 90B — no configuration was fetched for this band.
  • KV cache: 0.459 MB per token × 8,192 tokens of context × 4 concurrent requests = 15.03 GB, sized for every user holding a full context at once.
  • Overhead: 15% of weights plus KV cache for the runtime, activations and memory fragmentation = 40.5 GB.
  • GB means 10⁹ bytes, matching how GPU memory is advertised.
  • KV cache held at fp16 (2 bytes per element); quantising weights does not by itself quantise the cache.
  • Peak figure, not average: prefix caching and paged attention usually keep real usage lower, while speculative decoding, CUDA graphs and a second resident model push it higher.
  • "Concurrent" counts requests generated at the same instant, not people: 4 simultaneous requests is the worst case this estimate is built on — measure yours before buying.

04Hardware profiles

No hardware profile was sized for this answer.


05Hosted providers

Prompt (per million tokens, USD)FACT

0.020999999999999998

Source: openrouter

FreshRetrieved 19 Sep 2026
Completion (per million tokens, USD)FACT

0.063

FreshRetrieved 19 Sep 2026
ProviderContext
Novita262,144
DeepInfra131,072

06Deployment stacks

0 using it

No published deployment stack names this model yet.


07Evidence

12 verified
  1. 01–06
    Tier 4official repository / model cardOpenRouter

    OpenRouter endpoints — inclusionai/ling-3.0-flash

    https://openrouter.ai/api/v1/models/inclusionai/ling-3.0-flash/endpoints

    Verification may be outdatedRetrieved 19 Sep 2026sha256:ee43a32b8e70

    6 records · · · · ·

  2. 07–12
    Tier 4official repository / model cardHugging Face Hub

    Hugging Face model card data — inclusionAI/Ling-3.0-flash

    https://huggingface.co/api/models/inclusionAI/Ling-3.0-flash

    Verification may be outdatedRetrieved 19 Sep 2026sha256:1e491f103f9d

    6 records · · · · ·

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From the field

0 deployments · 0 questions

Nobody has reported deploying this here yet, and no question has been opened against this page. Both appear once a reviewer accepts them.