Qwen3.8-Flash-Next vs Llama-4-Maverick-17B-128E-Instruct

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

Qwen · A · Open weights
Params
180.0 B
Context
—
30d
2.8 M
meta-llama · B · Open weights
Params
401.6 B
Context
—
30d
9 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.8-Flash-Next Llama-4-Maverick-17B-128E-Instruct
Deployment Open weights · also via API Open weights · also via API
Parameters 180.0 B 401.6 B
Architecture Qwen4ExpForConditionalGeneration Llama4ForConditionalGeneration
Context length 1,000,000 128,000
Licence other other
Commercial use Unknown Unknown
Languages — 12
Downloads 30d 2,788,737 9,163
Downloads all time 3.6 M 749 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2026-08-24 2025-04-01
API input price / 1M tokens $0.15 $0.19
API output price / 1M tokens $0.47 $0.65
Est. cost per 1M input + 1M output tokens $0.62 $0.84
Cached input / 1M tokens $0.016 $0.05
AA Intelligence Index — 9.3
AA Coding Index — 16.3
AA Agentic Index — 0.6
Max output tokens 131,072 16,384
API providers 1 3
Tool calling Yes Yes
Reasoning mode Yes No

API cost

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

Qwen3.8-Flash-Next $0.62
Llama-4-Maverick-17B-128E-Instruct $0.84

Qwen3.8-Flash-Next is 1.4× cheaper at list price.

Download trend

Daily snapshots, last 30 days (25 Sep – 24 Oct)

2.8 M9 K
Qwen3.8-Flash-Next Llama-4-Maverick-17B-128E-Instruct

VRAM side by side

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

Qwen3.8-Flash-Next · fp16 423.5 GB / 24 GB
❌ Won’t fit
Llama-4-Maverick-17B-128E-Instruct · fp16 944.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons