DeepSeek-V4-Flash-0731 vs Qwen3.8-Flash-Next-GGUF

Specs, VRAM requirements and download trends — updated 24 October 2026.

deepseek-ai · A · Open weights
Params
304.2 B
Context
1,048,576
30d
4.3 M
mit · commercial OK
AtomicChat · B · Open weights
Params
180.0 B
Context
—
30d
569 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4-Flash-0731 Qwen3.8-Flash-Next-GGUF
Deployment Open weights · also via API Open weights
Parameters 304.2 B 180.0 B
Architecture DeepseekV4ForCausalLM —
Context length 1,048,576 —
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 4,348,313 568,505
Downloads all time 11.9 M 1.0 M
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-07-31 2026-08-26
API input price / 1M tokens $0.044 not on OpenRouter
API output price / 1M tokens $0.13 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.18 not on OpenRouter
Cached input / 1M tokens $0.0014 not on OpenRouter
AA Intelligence Index 34.3 not on OpenRouter
AA Coding Index 69.1 not on OpenRouter
AA Agentic Index 41 not on OpenRouter
Max output tokens 131,072 not on OpenRouter
API providers 22 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

DeepSeek-V4-Flash-0731 $0.18

Download trend

Daily snapshots, last 82 days (4 Aug – 24 Oct)

4.7 M226 K
DeepSeek-V4-Flash-0731 Qwen3.8-Flash-Next-GGUF

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen3.8-Flash-Next-GGUF · Q4_K_M 69.7 GB / 24 GB
❌ Won’t fit
DeepSeek-V4-Flash-0731 · fp16 @ 1024K ctx 6,024.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons