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

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

deepseek-ai · A · Open weights
Params
158.1 B
Context
1,048,576
30d
809 K
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 Qwen3.8-Flash-Next-GGUF
Deployment Open weights · also via API Open weights
Parameters 158.1 B 180.0 B
Architecture DeepseekV4ForCausalLM —
Context length 1,048,576 —
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 809,273 568,505
Downloads all time 12.9 M 1.0 M
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-04-22 2026-08-26
API input price / 1M tokens $0.091 not on OpenRouter
API output price / 1M tokens $0.18 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.27 not on OpenRouter
Cached input / 1M tokens $0.018 not on OpenRouter
AA Intelligence Index 24.4 not on OpenRouter
AA Coding Index 52 not on OpenRouter
AA Agentic Index 26.3 not on OpenRouter
Max output tokens 943,717 not on OpenRouter
API providers 15 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 $0.27

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

3.1 M226 K
DeepSeek-V4-Flash 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 · fp16 @ 1024K ctx 3,211.0 GB / 24 GB
❌ Won’t fit

Adjacent comparisons