DeepSeek-V4.1-Flash

Language DeepSeek Partly verified Released Sep 10, 2026
  • In Input modalities: TextImage Out Output modalities: Text
  • Reasoning· low, high, max
  • Reasoning can be off
  • Tool use
  • Structured output
  • Open weights

Prices

11 offerings · prices as listed
DeepSeek API (opens in a new tab) Official Global · USD deepseek-flash
Conditions/ 1M tokensInputCache readOutput
Peak hours Standard $0.30$0.006$1.20
Off-peak hours $0.15$0.003$0.60

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-flash
Conditions/ 1M tokensInputCache readOutput
Peak hours Standard ¥2.00¥0.040¥8.00
Off-peak hours ¥1.00¥0.020¥4.00

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-v4-1-flash
Conditions/ 1M tokensInputCache readOutput
Flex tier ¥1.00¥0.020¥4.00
Peak hours Standard ¥2.00¥0.040¥8.00
Off-peak hours ¥1.00¥0.020¥4.00
Batch ¥1.00¥0.020¥4.00

Prices from 火山方舟:模型价格 (opens in a new tab) (checked Nov 6, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Sep 13, 2026 International · USD Max output: 393.22K deepseek-v4.1-flash
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 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Sep 13, 2026 Global · USD Max output: 393.22K deepseek-v4.1-flash
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 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Sep 13, 2026 China · CNY deepseek-v4.1-flash
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 9, 2026)

Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Sep 13, 2026 China · CNY vanchin/deepseek-v4.1-flash
Conditions/ 1M tokensInputOutput
Standard ¥2.00¥8.00

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 Sep 13, 2026 Germany (global scope) · US (global scope) · Japan (global scope) · USD Max output: 393.22K deepseek-v4.1-flash
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 9, 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 License
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.

Run locally

Weights: deepseek-ai/DeepSeek-V4.1-Flash
  • 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 2026-11-11. How it’s estimated

Cited scores

From third-party leaderboards, not measured by us
  • Epoch Capabilities Index 156.5

    #33 of 118 listed models · CI 154.6–158.6

  • Epoch AI · Chess Puzzles 48%

    #21 of 85 listed models · max effort · ±5.02

  • Epoch AI · FrontierMath Tier 4 v2 26.8%

    #36 of 65 listed models · max effort · ±7.01

  • Epoch AI · FrontierMath Tiers 1–3 67.4%

    #31 of 84 listed models · max effort · ±2.78

  • 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
  • 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

Provider-reported scores

Published by DeepSeek, under the conditions it states
BenchmarkSettingScore
GPQA Diamondpass@1, max reasoning effort90.9%
Humanity's Last Exampass@1, no tools, max reasoning effort36.8%
pass@1, no tools, text-only subset, max reasoning effort39.1%
pass@1, with tools, max reasoning effort63.9%
Terminal-Bench 2.1pass@1, DeepSeek Harness Minimal mode, max reasoning effort90.6%

Included in coding plans

All coding plans →

  • Oct 17, 2026Release DeepSeek upgrades V4.1 Flash to version 1017 DeepSeek upgraded DeepSeek V4.1 Flash to DeepSeek-V4.1-Flash-1017; developers can access it using deepseek-flash, with the API method and pricing unchanged.
  • 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. 6 new prices on Volcengine Ark, China Input (Flex tier) ¥1.00 · Cache read (Flex tier) ¥0.020 · Output (Flex tier) ¥4.00 · Input (Batch) ¥1.00 · +2 more
  2. 12 new prices on Volcengine Ark, China Input (Flex tier, Off-peak hours) ¥0.50 · Cache read (Flex tier, Off-peak hours) ¥0.020 · Output (Flex tier, Off-peak hours) ¥2.00 · Input (Flex tier, Peak hours) ¥1.00 · +8 more
  3. Now priced on SiliconFlow, China Input (Peak hours) ¥2.00 · Output (Peak hours) ¥8.00 · Cache read (Peak hours) ¥0.040 · Input (Off-peak hours) ¥1.00 · +2 more
  4. Now priced on Alibaba Cloud Model Studio, China Input ¥2.00 · Output ¥8.00
  5. Now priced on Alibaba Cloud Model Studio, China Input ¥2.00 · Input (Off-peak hours) ¥1.00 · Output ¥8.00 · Output (Off-peak hours) ¥4.00
  6. No longer priced on Alibaba Cloud Model Studio, International Input $0.20 · Output $0.40 · Cache read $0.040
  7. No longer priced on Alibaba Cloud Model Studio Input $0.138 · Output $0.275 · Cache read $0.028
  8. 3 prices dropped on Volcengine Ark, cn-beijing Input (Flex tier) ¥1.50 · Cache read (Flex tier) ¥0.10 · Output (Flex tier) ¥4.50
  9. Now priced on Alibaba Cloud Model Studio, China Input ¥1.00 · Output ¥2.00
  10. Now priced on SiliconFlow, China Input (Off-peak hours) ¥1.50 · Output (Off-peak hours) ¥4.50 · Cache read (Off-peak hours) ¥0.15 · Input (Peak hours) ¥3.00 · +2 more
  11. Now priced on Alibaba Cloud Model Studio, International Input $0.20 · Output $0.40 · Cache read $0.040
  12. Now priced on Alibaba Cloud Model Studio Input $0.138 · Output $0.275 · Cache read $0.028
  13. 3 new prices on Volcengine Ark, cn-beijing Input (Flex tier) ¥1.50 · Cache read (Flex tier) ¥0.10 · Output (Flex tier) ¥4.50
  14. Now priced on Volcengine Ark, cn-beijing Input (Off-peak hours) ¥1.00 · Cache read (Off-peak hours) ¥0.020 · Output (Off-peak hours) ¥4.00 · Input (Peak hours) ¥2.00 · +2 more
  15. 3 new prices on DeepSeek API Cache read (Peak hours) $0.006 · Input (Peak hours) $0.30 · Output (Peak hours) $1.20
  16. 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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