DeepSeek-V4.1-Flash (2026-10-17)

Language DeepSeek Partly verified Released Oct 17, 2026
  • In Input modalities: TextImage Out Output modalities: Text
  • Reasoning· low, high, max
  • Reasoning can be off
  • Tool use
  • Structured output
  • Open weights

Prices

9 offerings · prices as listed
Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Oct 17, 2026 Global · USD Max output: 393.22KContext: 1MReasoning: YesTool use: YesStructured output: Yes deepseek-v4.1-flash-1017
Conditions/ 1M tokensInputOutput
Peak hours Standard $0.283$1.131
Off-peak hours $0.141$0.565

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 2, 2026)

DeepSeek API (opens in a new tab) Official Global · USD deepseek-flash
Conditions/ 1M tokensInputCache readOutput
Peak hours no longer listed since Oct 18, 2026 $0.30$0.006$1.20
Off-peak hours no longer listed since Oct 18, 2026 $0.15$0.003$0.60

Prices from DeepSeek API models & pricing (opens in a new tab) (checked Oct 18, 2026)

DeepSeek API (opens in a new tab) Official China · CNY deepseek-flash
Conditions/ 1M tokensInputCache readOutput
Peak hours no longer listed since Oct 18, 2026 ¥2.00¥0.040¥8.00
Off-peak hours no longer listed since Oct 18, 2026 ¥1.00¥0.020¥4.00

Prices from DeepSeek API:模型 & 价格 (opens in a new tab) (checked Oct 18, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Oct 17, 2026 China · CNY deepseek-v4.1-flash-1017
Conditions/ 1M tokensInputOutput
Standard ¥2.00¥8.00
Off-peak hours ¥1.00¥4.00

Prices from 阿里云百炼:模型价格 (opens in a new tab) (checked Nov 2, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Oct 17, 2026 International · USD Max output: 393.22KContext: 1MReasoning: YesTool use: YesStructured output: Yes deepseek-v4.1-flash-1017
Conditions/ 1M tokensInputOutput
Peak hours Standard $0.30$1.20
Off-peak hours $0.15$0.60

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 2, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Oct 17, 2026 Germany (global scope) · US (global scope) · Japan (global scope) · USD Max output: 393.22KContext: 1MReasoning: YesTool use: YesStructured output: Yes deepseek-v4.1-flash-1017
Conditions/ 1M tokensInputOutput
Peak hours no longer listed since Oct 23, 2026 $0.283$1.131
Off-peak hours no longer listed since Oct 23, 2026 $0.141$0.565

Prices from Alibaba Cloud Model Studio pricing (opens in a new tab) (checked Nov 2, 2026)

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

Details

Built-in tools
Web search
Knowledge cutoff
May 2025
Licence
mit
Family
deepseek-flash
Aliases
deepseek-v4-flash, deepseek-v4-flash-vision-exp
Model ID

Not stated on DeepSeek’s pages: max input, max thinking budget.

  • Parameters 763.2B
  • Active 228.1B (estimated) · 384 experts, 6 per token
  • Native precision FP8
  • Layers 40
  • KV cache per token 80 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
≈ 397.1 GB (weights 377.6 + KV cache 0.6 + overhead 18.9)
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
FP8 (native)maker’s file475.3 GB≈ 499.6Doesn’t fit—
Q6_K583.7 GB≈ 613.5Doesn’t fit—
Q5_K_M505.5 GB≈ 531.5Doesn’t fit—
Q5_0488.7 GB≈ 513.7Doesn’t fit—
Q4_K_M431.8 GB≈ 454.0Doesn’t fit—
Q4_0399.8 GB≈ 420.4Doesn’t fit—
IQ4_XS377.6 GB≈ 397.1Doesn’t fit—
Q3_K_Mquality drops347.4 GB≈ 365.4Doesn’t fit—
IQ3_XXSquality drops271.9 GB≈ 286.1Doesn’t fit—
Q2_Kquality drops266.5 GB≈ 280.5Doesn’t fit—
IQ2_XXSquality drops183.0 GB≈ 192.8Doesn’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 machine; about 7 × 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≈ 11375.2 GBDoesn’t fit your hardware
LoRA≈ 1425.0 GBDoesn’t fit your hardware
QLoRA≈ 403.2 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 159.3

    #19 of 118 listed models · CI 157–161.8

  • Epoch AI · Chess Puzzles 46%

    #24 of 85 listed models · max effort · ±5.01

  • Epoch AI · FrontierMath Tier 4 v2 46.3%

    #21 of 65 listed models · max effort · ±7.88

  • Epoch AI · FrontierMath Tiers 1–3 71.2%

    #27 of 84 listed models · max effort · ±2.69

  • Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Oct 28 – Nov 5, 2026
  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Oct 28, 2026
  • changes we made
  1. Now priced on Cloudflare Workers AI Input $0.30 · Cache read $0.006 · Output $1.20
  2. New language model

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

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