DeepSeek-V4-Flash-NVFP4 vs Qwen3-Coder-Next

Specs, VRAM requirements and download trends — updated 30 July 2026.

nvidia · A · Open weights
Params
166.7 B
Context
1,048,576
30d
203 K
mit · commercial OK
Qwen · B · Open weights
Params
79.7 B
Context
262,144
30d
426 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4-Flash-NVFP4 Qwen3-Coder-Next
Deployment Open weights Open weights · also via API
Parameters 166.7 B 79.7 B
Architecture DeepseekV4ForCausalLM Qwen3NextForCausalLM
Context length 1,048,576 262,144
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages — —
Downloads 30d 202,991 426,195
Downloads all time 1.9 M 7.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-05-18 2026-01-30
API input price / 1M tokens not on OpenRouter $0.12
API output price / 1M tokens not on OpenRouter $0.80
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.92
Cached input / 1M tokens not on OpenRouter $0.07
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter 36.2
AA Agentic Index not on OpenRouter 0.9
Max output tokens not on OpenRouter 235,929
API providers not on OpenRouter 1
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter No

API cost

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

Qwen3-Coder-Next $0.92

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

772 K203 K
DeepSeek-V4-Flash-NVFP4 Qwen3-Coder-Next

VRAM side by side

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

Qwen3-Coder-Next · fp16 @ 256K ctx 558.2 GB / 24 GB
❌ Won’t fit
DeepSeek-V4-Flash-NVFP4 · fp16 @ 1024K ctx 3,386.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons