Qwen2.5-7B-Instruct vs L3-8B-Lunaris-v1

Specs, VRAM requirements and download trends — updated 25 October 2026.

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.1 M
apache-2.0 · commercial OK
Sao10K · B · Open weights
Params
8.0 B
Context
8,192
30d
2 K
llama3 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct L3-8B-Lunaris-v1
Deployment Open weights · also via API Open weights · also via API
Parameters 7.6 B 8.0 B
Architecture Qwen2ForCausalLM LlamaForCausalLM
Context length 32,768 8,192
Licence apache-2.0 llama3
Commercial use Allowed Conditional
Languages 1 1
Downloads 30d 6,077,597 1,682
Downloads all time 190.2 M 459 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2024-06-26
API input price / 1M tokens $0.10 $0.04
API output price / 1M tokens $0.20 $0.05
Est. cost per 1M input + 1M output tokens $0.30 $0.09
Cached input / 1M tokens — —
AA Intelligence Index — —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 29,491 7,372
API providers 1 2
Tool calling Yes No
Reasoning mode No No

API cost

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

Qwen2.5-7B-Instruct $0.30
L3-8B-Lunaris-v1 $0.09

L3-8B-Lunaris-v1 is 3.3× cheaper at list price.

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

12.3 M2 K
Qwen2.5-7B-Instruct L3-8B-Lunaris-v1

VRAM side by side

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

Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably
L3-8B-Lunaris-v1 · fp16 19.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons