DeepSeek-V4.1-Flash (2026-09-10)

Language DeepSeek Partly verified Released Sep 10, 2026
  • Open weights

Prices

0 offerings · prices as listed

No priced offering is listed for this model yet.

Details

Family
deepseek-flash

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)
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
  • LMArena Text 1,476

    #28 of 163 listed models · max effort · CI 1,470–1,482 · 13,657 votes

  • LMArena Text · Chinese 1,523

    #25 of 161 listed models · max effort · CI 1,504–1,542 · 1,032 votes

  • LMArena Text · Coding 1,523

    #25 of 163 listed models · max effort · CI 1,513–1,533 · 3,745 votes

  • LMArena Text · Creative writing 1,441

    #39 of 163 listed models · max effort · CI 1,429–1,453 · 2,763 votes

  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Oct 19 – 28, 2026
  • changes we made
  1. 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

Snapshots, the same family and other models from this provider