DeepSeek-V3.1-Terminus

Language DeepSeek Partly verified Released Sep 22, 2025
  • Reasoning
  • Reasoning can be off
  • Open weights

Prices

4 offerings · prices as listed
Alibaba Cloud Model Studio (opens in a new tab) Official Available on this channel since Jan 28, 2026 China · CNY siliconflow/deepseek-v3.1-terminus
Conditions/ 1M tokensInputOutput
Standard ¥4.00¥12.00

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 Jan 28, 2026 China · CNY vanchin/deepseek-v3.1-terminus
Conditions/ 1M tokensInputOutput
Standard ¥4.00¥12.00

Prices from 阿里云百炼:模型价格 (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

Family
deepseek-terminus
Model ID

Not stated on DeepSeek’s pages: max input, input modalities, output modalities, reasoning efforts, max thinking budget, tool use, structured output, built-in tools, knowledge cutoff, licence, aliases.

  • Parameters 684.5B
  • Active 51.1B (estimated) · 256 experts, 8 per token
  • Native precision FP8
  • Layers 61
  • KV cache per token 69 KB
  • Config positions 160K (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
≈ 356.2 GB (weights 338.7 + KV cache 0.5 + overhead 16.9)
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 file641.3 GB≈ 673.9Doesn’t fit—
Q6_K523.6 GB≈ 550.3Doesn’t fit—
Q5_K_M453.4 GB≈ 476.6Doesn’t fit—
Q5_0438.3 GB≈ 460.7Doesn’t fit—
Q4_K_M387.3 GB≈ 407.2Doesn’t fit—
Q4_0358.6 GB≈ 377.1Doesn’t fit—
IQ4_XS338.7 GB≈ 356.2Doesn’t fit—
Q3_K_Mquality drops311.6 GB≈ 327.7Doesn’t fit—
IQ3_XXSquality drops243.9 GB≈ 256.6Doesn’t fit—
Q2_Kquality drops239.1 GB≈ 251.6Doesn’t fit—
IQ2_XXSquality drops164.2 GB≈ 172.9Doesn’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 6 × 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≈ 10203.9 GBDoesn’t fit your hardware
LoRA≈ 1279.5 GBDoesn’t fit your hardware
QLoRA≈ 363.1 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 1,415

    #88 of 163 listed models · CI 1,405–1,424 · 3,609 votes

  • LMArena Text · Coding 1,440

    #103 of 163 listed models · CI 1,419–1,460 · 771 votes

  • LMArena Text · Creative writing 1,405

    #67 of 163 listed models · CI 1,377–1,432 · 446 votes

  • LMArena Text · Hard prompts 1,424

    #94 of 163 listed models · CI 1,411–1,437 · 1,901 votes

  • 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 SiliconFlow, China Input ¥4.00 · Output ¥12.00 · Cache read ¥0.40
  2. Now priced on SiliconFlow, China Input ¥4.00 · Output ¥12.00 · Cache read ¥0.40

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