DeepSeek-V4-Flash

Language DeepSeek Partly verified Replaced by DeepSeek-V4.1-Flash (2026-10-17) Released Apr 24, 2026
  • In Input modalities: Text Out Output modalities: Text
  • Reasoning· low, high, max
  • Reasoning can be off
  • Tool use
  • Structured output
  • Open weights

Prices

5 offerings · prices as listed
Volcengine Ark (opens in a new tab) Official China · CNY deepseek-v4-flash
Conditions/ 1M tokensInputCache readOutput
Standard ¥3.00¥0.10¥9.00
Flex tier ¥1.50¥0.10¥4.50
Batch ¥1.50¥0.10¥4.50

Prices from 火山方舟:模型价格 (opens in a new tab) (checked Nov 1, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since May 11, 2026 Global · USD Context: 1MReasoning: YesTool use: YesStructured output: YesInput modalities: TextOutput modalities: TextReasoning efforts: none, high, maxMax output: 393.22K deepseek-v4-flash
Conditions/ 1M tokensInputCache readOutput
Standard no longer listed since Oct 11, 2026 $0.138$0.028$0.275

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Oct 11, 2026) · deepseek-v4-flash model (opens in a new tab) (checked Oct 6, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since May 11, 2026 International · USD Context: 1MReasoning: YesTool use: YesStructured output: YesInput modalities: TextOutput modalities: TextReasoning efforts: none, high, maxMax output: 393.22K deepseek-v4-flash
Conditions/ 1M tokensInputCache readOutput
Standard no longer listed since Oct 11, 2026 $0.20$0.040$0.40

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Oct 11, 2026) · deepseek-v4-flash model (opens in a new tab) (checked Oct 4, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Apr 24, 2026 China · CNY Context: 1MReasoning: YesTool use: YesStructured output: YesInput modalities: TextOutput modalities: TextReasoning efforts: none, high, maxMax output: 393.22K deepseek-v4-flash
Conditions/ 1M tokensInputOutput
Standard no longer listed since Oct 11, 2026 ¥1.00¥2.00

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

Knowledge cutoff
May 2025
Licence
MIT
Family
deepseek-flash
Model ID

Not stated on DeepSeek’s pages: max input, max thinking budget, built-in tools.

Run locally

Weights: deepseek-ai/DeepSeek-V4-Flash
  • Parameters 290.9B
  • Active 13B · 256 experts, 6 per token
  • Native precision FP8
  • Layers 43
  • KV cache per token 86 KB
  • Config positions 1024K (config.json max_position_embeddings)
  • API context 977K (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
≈ 151.8 GB (weights 143.9 + KV cache 0.7 + overhead 7.2)
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
FP8 (native)maker’s file148.7 GB≈ 156.8Doesn’t fit—
Q6_K222.5 GB≈ 234.3Doesn’t fit—
Q5_K_M192.7 GB≈ 203.0Doesn’t fit—
Q5_0186.3 GB≈ 196.3Doesn’t fit—
Q4_K_M164.6 GB≈ 173.5Doesn’t fit—
Q4_0152.4 GB≈ 160.7Doesn’t fit—
IQ4_XS143.9 GB≈ 151.8Doesn’t fit—
Q3_K_Mquality drops132.4 GB≈ 139.7Doesn’t fit—
IQ3_XXSquality drops103.6 GB≈ 109.5Doesn’t fit—
Q2_Kquality drops101.6 GB≈ 107.4Doesn’t fit—
IQ2_XXSquality drops69.8 GB≈ 73.9Needs system memory 17–25 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): no single listed GPU; 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≈ 4337.8 GBDoesn’t fit your hardware
LoRA≈ 545.2 GBDoesn’t fit your hardware
QLoRA≈ 155.7 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 1,436

    #66 of 163 listed models · CI 1,432–1,440 · 51,944 votes

  • EQ-Bench Creative Writing v3 1,559

    #46 of 93 listed models

  • EQ-Bench Longform Writing 66

    #49 of 92 listed models

  • LiveBench · Agentic Coding 37.6

    #56 of 57 listed models

  • 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
  • LiveBench (White et al.), release 2026-06-25, livebench.ai, licensed CC BY-SA 4.0. This board, adapted from it, is shared under CC BY-SA 4.0. · License · as of Jun 25, 2026
  • changes we made

Included in coding plans

All coding plans →

  1. Removed from the directory
  2. Now priced on Alibaba Cloud Model Studio, China Input ¥1.00 · Output ¥2.00
  3. Now priced on Alibaba Cloud Model Studio, International Input $0.20 · Output $0.40 · Cache read $0.040

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