DeepSeek-V4-Pro

Language DeepSeek Partly verified 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

13 offerings · prices as listed
DeepSeek API (opens in a new tab) Official Global · USD deepseek-v4-pro
Conditions/ 1M tokensInputCache readOutput
Peak hours Standard $1.32$0.044$3.96
Off-peak hours $0.66$0.022$1.98

When it applies, as the source states: Off-peak rates are half of the peak rates. Peak hours are 01:00 - 04:00 and 06:00 - 10:00 UTC, Monday through Friday, excluding Chinese public holidays. All other hours are off-peak, including weekends and Chinese public holidays in full.

Prices from DeepSeek API models & pricing (opens in a new tab) (checked Nov 9, 2026)

DeepSeek API (opens in a new tab) Official China · CNY deepseek-v4-pro
Conditions/ 1M tokensInputCache readOutput
Peak hours Standard ¥9.00¥0.30¥27.00
Off-peak hours ¥4.50¥0.15¥13.50

Prices from DeepSeek API:模型 & 价格 (opens in a new tab) (checked Nov 8, 2026)

Volcengine Ark (opens in a new tab) Official China · CNY deepseek-v4-pro
Conditions/ 1M tokensInputCache readOutput
Standard ¥9.00¥0.30¥27.00
Flex tier ¥4.50¥0.30¥13.50
Batch ¥4.50¥0.30¥13.50

Prices from 火山方舟:模型价格 (opens in a new tab) (checked Nov 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since May 11, 2026 International · USD Max output: 393.22KInput modalities: TextOutput modalities: TextTool use: YesStructured output: YesContext: 1MReasoning: YesMax thinking budget: 393.22K deepseek-v4-pro
Conditions/ 1M tokensInputCache readOutput
Standard $2.40$0.20$4.80

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 9, 2026) · DeepSeek V4 Pro model (opens in a new tab) (checked Nov 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since May 11, 2026 Global · USD Max output: 393.22KInput modalities: TextOutput modalities: TextTool use: YesStructured output: YesContext: 1MReasoning: YesMax thinking budget: 393.22K deepseek-v4-pro
Conditions/ 1M tokensInputCache readOutput
Standard $1.65$0.138$3.301

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 9, 2026) · DeepSeek V4 Pro model (opens in a new tab) (checked Nov 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Apr 24, 2026 China · CNY deepseek-v4-pro
Conditions/ 1M tokensInputOutput
Standard ¥12.00¥24.00

Prices from 阿里云百炼:模型价格 (opens in a new tab) (checked Nov 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Apr 24, 2026 China · CNY vanchin/deepseek-v4-pro
Conditions/ 1M tokensInputOutput
Standard ¥12.00¥24.00

Prices from 阿里云百炼:模型价格 (opens in a new tab) (checked Nov 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since May 11, 2026 Germany (global scope) · USD Input modalities: TextOutput modalities: TextTool use: YesStructured output: YesContext: 1MMax output: 393.22KReasoning: YesMax thinking budget: 393.22K deepseek-v4-pro
Conditions/ 1M tokensInputOutput
Standard —$3.301

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since May 11, 2026 US (global scope) · Japan (global scope) · USD Input modalities: TextOutput modalities: TextTool use: YesStructured output: YesContext: 1MMax output: 393.22KReasoning: YesMax thinking budget: 393.22K deepseek-v4-pro
Conditions/ 1M tokensInputOutput
Standard —$3.30

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since May 11, 2026 US · Japan · USD Input modalities: TextOutput modalities: TextTool use: YesStructured output: YesContext: 1MMax output: 393.22KReasoning: YesMax thinking budget: 393.22K deepseek-v4-pro
Conditions/ 1M tokensInputOutput
Standard $2.40$4.80

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 9, 2026)

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

Details

Knowledge cutoff
May 2025
Licence
MIT License
Family
deepseek-pro
Model ID

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

Run locally

Weights: deepseek-ai/DeepSeek-V4-Pro
  • Parameters 1.6T
  • Active 49B · 384 experts, 6 per token
  • Native precision FP8
  • Layers 61
  • KV cache per token 122 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
≈ 831.6 GB (weights 791.1 + KV cache 1.0 + overhead 39.6)
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 file805.3 GB≈ 846.6Doesn’t fit—
Q6_K1222.9 GB≈ 1285.0Doesn’t fit—
Q5_K_M1059.1 GB≈ 1113.0Doesn’t fit—
Q5_01023.7 GB≈ 1075.9Doesn’t fit—
Q4_K_M904.6 GB≈ 950.8Doesn’t fit—
Q4_0837.6 GB≈ 880.4Doesn’t fit—
IQ4_XS791.1 GB≈ 831.6Doesn’t fit—
Q3_K_Mquality drops727.8 GB≈ 765.1Doesn’t fit—
IQ3_XXSquality drops569.6 GB≈ 599.0Doesn’t fit—
Q2_Kquality drops558.4 GB≈ 587.3Doesn’t fit—
IQ2_XXSquality drops383.4 GB≈ 403.6Doesn’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 14 × 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≈ 23828.2 GBDoesn’t fit your hardware
LoRA≈ 2984.0 GBDoesn’t fit your hardware
QLoRA≈ 843.5 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 2026-11-11. How it’s estimated

Cited scores

From third-party leaderboards, not measured by us
  • Epoch Capabilities Index 150.1

    #59 of 118 listed models · pre-0813 snapshot · CI 148.4–151.9

  • LMArena Text 1,458

    #42 of 163 listed models · CI 1,454–1,462 · 56,904 votes

  • Epoch AI · Chess Puzzles 19%

    #67 of 85 listed models · pre-0813 snapshot, max effort · ±3.94

    Also listed: high effort 16% · reasoning off 4%

  • Epoch AI · FrontierMath Tier 4 v2 2.4%

    #59 of 65 listed models · pre-0813 snapshot, max effort · ±2.44

  • Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Oct 7 – Nov 5, 2026
  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Nov 8, 2026
  • EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License. · License · as of Oct 24 – 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

Provider-reported scores

Published by DeepSeek, under the conditions it states
BenchmarkSettingScore
Humanity's Last Examno tools, text-only subset, max reasoning effort42.7%
with tools, max reasoning effort60%
Terminal-Bench 2.1DeepSeek Harness minimal mode, max reasoning effort87.9%
GPQA Diamondpass@1, max reasoning effort92.4%

Included in coding plans

All coding plans →

  • Sep 10, 2026Release DeepSeek releases DeepSeek-V4.1-Flash DeepSeek released DeepSeek-V4.1-Flash, its smallest new-architecture model with native multimodal vision, callable as deepseek-flash. The retired names deepseek-v4-flash and deepseek-v4-flash-vision-exp route to it for now. V4 Pro continues after 14 September 2026 with unchanged billing, and API prices were reduced with the release.
  1. Now priced on Alibaba Cloud Model Studio, China Input ¥12.00 · Output ¥24.00
  2. Now priced on Alibaba Cloud Model Studio, China Input ¥12.00 · Output ¥24.00
  3. 1 new price on Alibaba Cloud Model Studio, International Cache read $0.20
  4. 4 new prices on Volcengine Ark, cn-beijing Cache read (Flex tier) ¥0.30 · Input (Batch) ¥4.50 · Cache read (Batch) ¥0.30 · Output (Batch) ¥13.50
  5. 6 new prices on DeepSeek API Cache read (Off-peak hours) $0.022 · Cache read (Peak hours) $0.044 · Input (Off-peak hours) $0.66 · Input (Peak hours) $1.32 · +2 more

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