Llama-3.2-3B-Instruct vs DeepSeek-R1-Distill-Qwen-1.5B

Specs, VRAM requirements and download trends — updated 16 October 2026.

meta-llama · A · Open weights
Params
3.2 B
Context
—
30d
872 K
llama3.2 licence · conditional
deepseek-ai · B · Open weights
Params
1.8 B
Context
131,072
30d
600 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.2-3B-Instruct DeepSeek-R1-Distill-Qwen-1.5B
Deployment Open weights · also via API Open weights
Parameters 3.2 B 1.8 B
Architecture LlamaForCausalLM Qwen2ForCausalLM
Context length 131,072 131,072
Licence llama3.2 mit
Commercial use Conditional Allowed
Languages 8 —
Downloads 30d 872,223 599,995
Downloads all time 50.9 M 22.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-09-18 2025-01-20
API input price / 1M tokens $0.05 not on OpenRouter
API output price / 1M tokens $0.33 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.38 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 117,964 not on OpenRouter
API providers 2 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-3.2-3B-Instruct $0.38

Download trend

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

2.0 M398 K
Llama-3.2-3B-Instruct DeepSeek-R1-Distill-Qwen-1.5B A overtook B on 29 Oct

VRAM side by side

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

Llama-3.2-3B-Instruct · fp16 8.0 GB / 24 GB
✅ Runs comfortably
DeepSeek-R1-Distill-Qwen-1.5B · fp16 @ 128K ctx 8.7 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons