Qwen3-8B vs Llama-3.1-8B-Instruct

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
8.2 B
Context
40,960
30d
6.8 M
apache-2.0 · commercial OK
meta-llama · B · Open weights
Params
8.0 B
Context
—
30d
4.5 M
llama3.1 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B Llama-3.1-8B-Instruct
Deployment Open weights Open weights · also via API
Parameters 8.2 B 8.0 B
Architecture Qwen3ForCausalLM LlamaForCausalLM
Context length 40,960 131,072
Licence apache-2.0 llama3.1
Commercial use Allowed Conditional
Languages — 8
Downloads 30d 6,837,564 4,504,499
Downloads all time 137.6 M 193.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2025-04-27 2024-07-18
API input price / 1M tokens not on OpenRouter $0.02
API output price / 1M tokens not on OpenRouter $0.04
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.06
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter 5.4
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 16,384
API providers not on OpenRouter 4
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter No

API cost

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

Llama-3.1-8B-Instruct $0.06

Download trend

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

16.4 M4.3 M
Qwen3-8B Llama-3.1-8B-Instruct

VRAM side by side

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

Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB
✅ Runs comfortably
Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons