Llama-3.2-1B-Instruct vs Qwen3-4B-Instruct-2507-NVFP4

Specs, VRAM requirements and download trends — updated 8 August 2026.

meta-llama · A · Open weights
Params
1.2 B
Context
—
30d
1.3 M
llama3.2 licence · conditional
llmat · B · Open weights
Params
2.8 B
Context
262,144
30d
161 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.2-1B-Instruct Qwen3-4B-Instruct-2507-NVFP4
Deployment Open weights · also via API Open weights
Parameters 1.2 B 2.8 B
Architecture LlamaForCausalLM Qwen3ForCausalLM
Context length 60,000 262,144
Licence llama3.2 apache-2.0
Commercial use Conditional Allowed
Languages 8 1
Downloads 30d 1,331,481 160,914
Downloads all time 109.8 M 269 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-09-18 2025-08-27
API input price / 1M tokens $0.027 not on OpenRouter
API output price / 1M tokens $0.20 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.23 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 54,000 not on OpenRouter
API providers 1 not on OpenRouter
Tool calling No not on OpenRouter
Reasoning mode No not on OpenRouter

API cost

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

Llama-3.2-1B-Instruct $0.23

Download trend

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

9.3 M161 K
Llama-3.2-1B-Instruct Qwen3-4B-Instruct-2507-NVFP4

VRAM side by side

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

Llama-3.2-1B-Instruct · fp16 3.4 GB / 24 GB
✅ Runs comfortably
Qwen3-4B-Instruct-2507-NVFP4 · fp16 @ 256K ctx 18.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons