DeepSeek-V3.2-Exp

Language DeepSeek Partly verified Preview Released Sep 29, 2025
  • In Input modalities: Text Out Output modalities: Text
  • Reasoning
  • Reasoning can be off
  • Tool use
  • Open weights

Prices

2 offerings · prices as listed
Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Sep 30, 2025 Global · USD Context: 131.07KReasoning: YesTool use: YesStructured output: —Max output: 65.54KInput modalities: TextOutput modalities: TextBuilt-in tools: Web searchMax thinking budget: 32.77K deepseek-v3.2-exp
Conditions/ 1M tokensInputOutput
Standard $0.287$0.431

Prices from Alibaba Cloud Model Studio model pricing - Alibaba Cloud Model Studio - Alibaba Cloud Documentation Center (opens in a new tab) (checked Sep 29, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Preview Available on this channel since Sep 30, 2025 China · CNY Context: 131.07KReasoning: YesTool use: YesStructured output: —Max output: 65.54KInput modalities: TextOutput modalities: TextBuilt-in tools: Web searchMax thinking budget: 32.77K deepseek-v3.2-exp
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 ¥2.00¥3.00

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

Max thinking budget
32.77K
Structured output
—
Built-in tools
Web search
Licence
MIT License
Family
deepseek
Model ID

Not stated on DeepSeek’s pages: max input, reasoning efforts, knowledge cutoff, aliases.

Run locally

Weights: deepseek-ai/DeepSeek-V3.2-Exp
  • Parameters 685.4B
  • Active 51.9B (estimated) · 256 experts, 8 per token
  • Native precision FP8
  • Layers 61
  • KV cache per token 69 KB
  • Config positions 160K (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
≈ 356.6 GB (weights 339.1 + KV cache 0.5 + overhead 17.0)
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
FP8 (native)maker’s file642.1 GB≈ 674.8Doesn’t fit—
Q6_K524.2 GB≈ 551.0Doesn’t fit—
Q5_K_M454.0 GB≈ 477.2Doesn’t fit—
Q5_0438.8 GB≈ 461.3Doesn’t fit—
Q4_K_M387.8 GB≈ 407.7Doesn’t fit—
Q4_0359.1 GB≈ 377.5Doesn’t fit—
IQ4_XS339.1 GB≈ 356.6Doesn’t fit—
Q3_K_Mquality drops312.0 GB≈ 328.1Doesn’t fit—
IQ3_XXSquality drops244.2 GB≈ 256.9Doesn’t fit—
Q2_Kquality drops239.4 GB≈ 251.9Doesn’t fit—
IQ2_XXSquality drops164.4 GB≈ 173.1Doesn’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 machine; about 6 × 80 GB GPUs.

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≈ 10216.8 GBDoesn’t fit your hardware
LoRA≈ 1281.1 GBDoesn’t fit your hardware
QLoRA≈ 363.5 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
  • Epoch Capabilities Index 144.4

    #82 of 118 listed models · CI 142.2–146.7

  • LMArena Text 1,422

    #83 of 163 listed models · CI 1,415–1,428 · 11,996 votes

  • EQ-Bench Longform Writing 60.2

    #56 of 92 listed models

  • LMArena Text · Chinese 1,466

    #77 of 161 listed models · CI 1,449–1,484 · 1,031 votes

  • Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Nov 5, 2026
  • 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 ¥3.00
  2. Context window 128K → 131.07K

Sources

DeepSeek’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

DeepSeek · China · deepseek.com

Snapshots, the same family and other models from this provider