Spark 3.0

Closed weights iFlytek October 2023

No estimate

No hardware requirements for this model

The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
iFlytek
Organisation type
Industry
Country
China
Published
24 October 2023

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Language
Task
Code generation, Language generation, Language modeling/generation, Question answering

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
1,400,000,000,000 tokens

"Spark 3.0 has been trained on a dataset of 1.2 trillion words and code"

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Likely above 10²³ FLOP
Yes
Record confidence
Likely

Sources

Where this record came from and when it was last checked.

Last updated
28 November 2025

What the numbers mean

Where it came from

Spark 3.0 was published by iFlytek, in China, in October 2023. It comes out of industry.

It works in Language, and is recorded as doing code generation, Language generation, Language modeling/generation, Question answering.

Its weights were never published, so it can only be reached through its provider. No graphics card changes that.

What went into building it

It was trained on about 1,400,000,000,000 tokens of text.

Answers

Spark 3.0 — common questions

01

Is Spark 3.0 open source?

The licensing for Spark 3.0 was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.

02

How many parameters does Spark 3.0 have?

No parameter count has been published for Spark 3.0, which is why no memory or speed figure appears on this page.

03

Who created Spark 3.0?

Spark 3.0 was published by iFlytek, based in China, categorised as industry.

04

When was Spark 3.0 released?

Spark 3.0 was published in October 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.

05

What is Spark 3.0 used for?

Spark 3.0 works in Language, and is recorded as handling code generation, Language generation, Language modeling/generation, Question answering. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

06

What GPU do I need to run Spark 3.0?

None. Spark 3.0 is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.