Qwen3-235B-A22B-Instruct-2507

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 · Global · USD qwen3-235b-a22b-instruct-2507
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 $0.23$0.92

Prices from qwen3-235b-a22b-instruct-2507 model (opens in a new tab) (checked Oct 8, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official China · CNY qwen3-235b-a22b-instruct-2507
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 ¥2.00¥8.00

Prices from 阿里云百炼:模型价格 (opens in a new tab) (checked Oct 8, 2026)

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

Details

Reasoning
—
Licence
Apache 2.0
Family
qwen
Model ID

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

  • Parameters 235.1B
  • Active 22B · 128 experts, 8 per token
  • Native precision BF16
  • Layers 94
  • KV cache per token 188 KB
  • Native context 256K (model card)
  • Config positions 256K (config.json max_position_embeddings)
  • API context 128K (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
≈ 123.6 GB (weights 116.3 + KV cache 1.5 + overhead 5.8)
Usable
21.6 GB (90% of its memory)
Try
IQ2_XXS runs (needs system memory), but below 4 bits quality drops noticeably
PrecisionWeightsNeeds at 8KOn your hardwareLongest context
BF16 (native)maker’s file437.9 GB≈ 461.3Doesn’t fit—
Q8_0232.6 GB≈ 245.7Doesn’t fit—
FP8maker’s file220.2 GB≈ 232.7Doesn’t fit—
Q6_K179.8 GB≈ 190.3Doesn’t fit—
Q5_K_M155.7 GB≈ 165.0Doesn’t fit—
Q5_0150.5 GB≈ 159.5Doesn’t fit—
Q4_K_M133.0 GB≈ 141.1Doesn’t fit—
Q4_0123.2 GB≈ 130.8Doesn’t fit—
IQ4_XS116.3 GB≈ 123.6Doesn’t fit—
Q3_K_Mquality drops107.0 GB≈ 113.8Doesn’t fit—
IQ3_XXSquality drops83.7 GB≈ 89.4Doesn’t fit—
Q2_Kquality drops82.1 GB≈ 87.7Doesn’t fit—
IQ2_XXSquality drops56.4 GB≈ 60.7Needs system memory 12–18 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 B200 (HGX B200); unified memory Apple M5 Ultra (64-core GPU) · 256 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≈ 3506.6 GBDoesn’t fit your hardware
LoRA≈ 442.0 GBDoesn’t fit your hardware
QLoRA≈ 127.3 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
  • LMArena Text 1,422

    #82 of 163 listed models · CI 1,420–1,425 · 98,081 votes

  • EQ-Bench Longform Writing 57.4

    #66 of 92 listed models

  • LMArena Text · Chinese 1,467

    #75 of 161 listed models · CI 1,460–1,475 · 7,315 votes

  • LMArena Text · Coding 1,472

    #76 of 163 listed models · CI 1,467–1,476 · 21,717 votes

  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Oct 28, 2026
  • EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License. · License · as of Oct 28, 2026
  • changes we made
  1. Now priced on Alibaba Cloud Model Studio, China Input ¥2.00 · Output ¥8.00
  2. Context window 256K → 131.07K
  3. Now priced on Alibaba Cloud Model Studio Input $0.23 · Output $0.92
  4. Now priced on Alibaba Cloud Model Studio, International Input $0.23 · Output $0.92

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

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