Qwen3-Coder-480B-A35B-Instruct

Language Alibaba Qwen Partly verified Released Jul 22, 2025
  • In Input modalities: Text Out Output modalities: Text
  • Tool use
  • Structured output
  • Open weights

Prices

3 offerings · prices as listed
Alibaba Cloud Model Studio (opens in a new tab) Official International · USD qwen3-coder-480b-a35b-instruct
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 $1.50$7.50
Prompts over 32K tokens no longer listed since Oct 11, 2026 $2.70$13.50
Prompts over 128K tokens no longer listed since Oct 11, 2026 $4.50$22.50

Prices from qwen3-coder-480b-a35b-instruct model (opens in a new tab) (checked Oct 8, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Global · USD qwen3-coder-480b-a35b-instruct
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 $0.861$3.441
Prompts over 32K tokens no longer listed since Oct 11, 2026 $1.291$5.161
Prompts over 128K tokens no longer listed since Oct 11, 2026 $2.151$8.602

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Oct 11, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official China · CNY qwen3-coder-480b-a35b-instruct
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 ¥6.00¥24.00
Prompts over 32K tokens no longer listed since Oct 11, 2026 ¥9.00¥36.00
Prompts over 128K tokens no longer listed since Oct 11, 2026 ¥15.00¥60.00

Prices from 阿里云百炼:模型价格 (opens in a new tab) (checked Oct 6, 2026)

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

Details

Max input
204.8K
Reasoning
—
Knowledge cutoff
Apr 2025
Family
qwen-coder
Model ID

Not stated on Alibaba Qwen’s pages: reasoning efforts, reasoning can be off, max thinking budget, built-in tools, licence, aliases.

  • Parameters 480.2B
  • Active 35B · 160 experts, 8 per token
  • Native precision BF16
  • Layers 62
  • KV cache per token 248 KB
  • Native context 256K (model card)
  • Config positions 256K (config.json max_position_embeddings)
  • API context 256K (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
Doesn’t fit IQ4_XS (automatic) 8K context
WeightsKV cacheOverheadUsable
Needs
≈ 251.4 GB (weights 237.6 + KV cache 1.9 + overhead 11.9)
Usable
21.6 GB (90% of its memory)
Try
it’s too large for this hardware; see the smallest that runs it below
PrecisionWeightsNeeds at 8KOn your hardwareLongest context
BF16 (native)894.4 GB≈ 941.0Doesn’t fit—
Q8_0475.1 GB≈ 500.8Doesn’t fit—
FP8maker’s file449.0 GB≈ 473.4Doesn’t fit—
Q6_K367.2 GB≈ 387.5Doesn’t fit—
Q5_K_M318.1 GB≈ 335.9Doesn’t fit—
Q5_0307.4 GB≈ 324.7Doesn’t fit—
Q4_K_M271.7 GB≈ 287.2Doesn’t fit—
Q4_0251.5 GB≈ 266.1Doesn’t fit—
IQ4_XS237.6 GB≈ 251.4Doesn’t fit—
Q3_K_Mquality drops218.6 GB≈ 231.4Doesn’t fit—
IQ3_XXSquality drops171.0 GB≈ 181.5Doesn’t fit—
Q2_Kquality drops167.7 GB≈ 178.0Doesn’t fit—
IQ2_XXSquality drops115.1 GB≈ 122.8Doesn’t fit—

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): no single listed GPU; unified memory Apple M5 Ultra (80-core GPU) · 512 GB.

Run commands

The maker publishes no files at this precision. Choose its native precision or one of its own builds, or quantise it yourself with llama.cpp.

Memory to fine-tune
Full≈ 7158.4 GBDoesn’t fit your hardware
LoRA≈ 898.6 GBDoesn’t fit your hardware
QLoRA≈ 255.8 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
  • LMArena Text 1,388

    #111 of 163 listed models · CI 1,383–1,393 · 25,190 votes

  • LMArena Text · Chinese 1,405

    #111 of 161 listed models · CI 1,391–1,420 · 1,790 votes

  • LMArena Text · Coding 1,457

    #91 of 163 listed models · CI 1,448–1,466 · 4,805 votes

  • LMArena Text · Creative writing 1,362

    #100 of 163 listed models · CI 1,351–1,373 · 3,241 votes

  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Oct 28, 2026
  • changes we made
  1. Context window 256K → 262.14K

Sources

Alibaba Qwen’s official policies: data use, privacy, terms →

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

Alibaba Qwen · China · qwen.ai

Snapshots, the same family and other models from this provider