deepseek-ai / text-generation updated 5 days ago

DeepSeek-V4-Flash-0731

Name: DeepSeek-V4-Flash-0731
Author: deepseek-ai

DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. It has the same model structure as DeepSeek-V4-Flash-DSpark, i.e. it comes with a speculative decoding module attached.

Params

304.2 B

Context

1,048,576

Downloads 30d

433 K

Likes

2,506

Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (3 recorded)

433 K downloads in the last 30 days

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	i8	166.9 GB	229.7 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 1024K ctx	166.9 GB	6,024.3 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-v4-flash-0731
{
  "hf_id": "deepseek-ai/DeepSeek-V4-Flash-0731",
  "params_b": 304.18,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 433284,
  "vram_estimates": [
    { "quant": "i8", "gb": 229.7 }
  ],
  "updated_at": "2026-08-04T01:00:25Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: DeepseekV4ForCausalLM
Parameters: 304.2 B
Tensor type: I8
Context length: 1,048,576
Vocabulary: 129,280
Layers / heads: 43 / 64
Licence: mit
First seen on the Hub: 2026-07-31
Training datasets: undisclosed
Added to our catalog: 2026-08-04

Compare with

DeepSeek-R1 9.9 M gpt-oss-120b 4.2 M DeepSeek-V4-Flash 2.7 M GLM-5.2-FP8 2.7 M GLM-5.2 2.2 M GLM-5.2-NVFP4 1.8 M

Appears in

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