Ling-3.0-flash

Language Ant Group Partly verified Released Jul 23, 2026
  • In Input modalities: Text Out Output modalities: Text
  • Reasoning
  • Reasoning can be off
  • Tool use
  • Open weights

Prices

1 offering · prices as listed
Ant Ling API (opens in a new tab) Official China · CNY Ling-3.0-flash
Conditions/ 1M tokensInputCache readOutput
Standard ¥0.50¥0.10¥1.50

Prices from Ant Ling: model pricing (opens in a new tab) (checked Nov 4, 2026)

Standard: the price a request with no conditions pays (the headline price elsewhere on the site).

Details

Licence
mit
Family
ling-flash
Model ID

Not stated on Ant Group’s pages: max input, reasoning efforts, max thinking budget, structured output, built-in tools, knowledge cutoff, aliases.

Run locally

Weights: inclusionAI/Ling-3.0-flash
  • Parameters 127.5B
  • Active 5.1B · 512 experts, 8 per token
  • Native precision BF16
  • Layers 42
  • KV cache per token 47 KB
  • Config positions 256K (config.json max_position_embeddings)
  • API context 250K (maker’s API)
My hardware GeForce RTX 4090 24 GB · 1008 GB/s · 64 GB DDR5 dual channel · 89.6 GB/s
On your hardware · GeForce RTX 4090
Needs system memory Q4_K_M (automatic) 8K context 19–28 tok/s32/42 layers in system memory
WeightsKV cacheOverheadIn system memoryUsable
Needs
≈ 75.7 GB (weights 71.7 (maker’s file) + KV cache 0.4 + overhead 3.6)
Usable
21.6 GB (90% of its memory)
In system memory
54.6 GB · 10/42 layers on the GPU (--n-gpu-layers 10)
Generation speed
19–28 tok/s (reads the active 5.1B per token)
First token
about 0.16–0.25 s for a 2K prompt
PrecisionWeightsNeeds at 8KOn your hardwareLongest context
BF16 (native)maker’s file237.5 GB≈ 249.7Doesn’t fit—
Q8_0maker’s file126.3 GB≈ 133.0Doesn’t fit—
FP8maker’s file119.6 GB≈ 126.0Doesn’t fit—
Q6_Kmaker’s file97.6 GB≈ 102.8Doesn’t fit—
Q5_K_Mmaker’s file84.3 GB≈ 88.8Doesn’t fit—
Q5_081.6 GB≈ 86.1Doesn’t fit—
Q4_K_Mmaker’s file71.7 GB≈ 75.7Needs system memory 19–28 tok/s—
Q4_066.8 GB≈ 70.5Needs system memory 21–31 tok/s—
INT4 (AWQ / GPTQ)maker’s file71.7 GB≈ 75.7Needs system memory 19–28 tok/s—
IQ4_XS63.1 GB≈ 66.6Needs system memory 22–34 tok/s—
Q3_K_Mquality drops58.0 GB≈ 61.3Needs system memory 41–62 tok/s—
IQ3_XXSquality drops45.4 GB≈ 48.1Needs system memory 53–79 tok/s—
Q2_Kquality drops44.5 GB≈ 47.1Needs system memory 54–81 tok/s—
IQ2_XXSquality drops30.6 GB≈ 32.5Needs system memory 82–124 tok/s—

Click a row to choose a precision. “Maker’s file” sizes are the maker’s own files; others are parameters × bits per weight.

Compared with other hardware

Each at the highest precision it runs. Click one for details.

Smallest that runs it (Q4_K_M, 8K): GPU NVIDIA RTX PRO 6000 Blackwell Workstation Edition; unified memory Apple M5 Max (40-core GPU) · 128 GB.

Run commands

llama.cpp
llama-server -hf inclusionAI/Ling-3.0-flash-GGUF:Q4_K_M -c 8192 --n-gpu-layers 10
Ollama
ollama run hf.co/inclusionAI/Ling-3.0-flash-GGUF:Q4_K_M
Memory to fine-tune
Full≈ 1902.0 GBDoesn’t fit your hardware
LoRA≈ 240.0 GBDoesn’t fit your hardware
QLoRA≈ 69.3 GBDoesn’t fit your hardware

Batch 1, 2,048-token sequences, gradient checkpointing; LoRA and QLoRA train rank-16 adapters on the attention projections.

Estimates; facts from the maker’s Hugging Face repositories, as of 2026-11-06. How it’s estimated

Cited scores

From third-party leaderboards, not measured by us

This model isn’t on any leaderboard we cite yet.

  • Oct 15, 2026Pricing Ant Group raises Ling-3.1-flash and Ling-3.0-flash prices Ling-3.1-flash on Ant Ling API (CNY): input ¥0.00 → ¥0.50, output ¥0.00 → ¥1.50, cache read ¥0.00 → ¥0.125 per 1M tokens. Ling-3.0-flash on Ant Ling API (CNY): input ¥0.125 → ¥0.14, output ¥0.375 → ¥0.42, cache read ¥0.025 → ¥0.028 per 1M tokens.

Price history

Ant Ling API, China · standard rate · as listed

Input per 1M tokens

0¥0.20¥0.40¥0.60Oct 15Oct 26Nov 6CNY per 1M tokensOct 28, 2026: ¥0.50Nov 6, 2026: ¥0.50
Input price history
FromPrice
Oct 15, 2026¥0.14
Oct 28, 2026¥0.50

Output per 1M tokens

0¥0.50¥1.00¥1.50¥2.00Oct 15Oct 26Nov 6CNY per 1M tokensOct 28, 2026: ¥1.50Nov 6, 2026: ¥1.50
Output price history
FromPrice
Oct 15, 2026¥0.42
Oct 28, 2026¥1.50
  1. Cache read price raised 12% ¥0.025 → ¥0.028 / 1M tokens · Ant Ling API, China
  2. Output price raised 12% ¥0.375 → ¥0.42 / 1M tokens · Ant Ling API, China
  3. Input price raised 12% ¥0.125 → ¥0.14 / 1M tokens · Ant Ling API, China

Sources

Some values on this page are still waiting to be checked against official pages: a filled dot is verified, a hollow one is not yet (with or without a source on file). How we verify data

Ant Group · China · developer.ant-ling.com

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