Qwen3-8B vs Ministral-3-3B-Instruct-2512

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

Qwen · A · Open weights
Params
8.2 B
Context
40,960
30d
8.2 M
apache-2.0 · commercial OK
mistralai · B · Open weights
Params
3.8 B
Context
—
30d
93 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B Ministral-3-3B-Instruct-2512
Deployment Open weights Open weights · also via API
Parameters 8.2 B 3.8 B
Architecture Qwen3ForCausalLM Mistral3ForConditionalGeneration
Context length 40,960 131,072
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 11
Downloads 30d 8,164,793 93,398
Downloads all time 133.8 M 4.0 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2025-10-31
API input price / 1M tokens not on OpenRouter $0.10
API output price / 1M tokens not on OpenRouter $0.10
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.20
Cached input / 1M tokens not on OpenRouter $0.01
AA Intelligence Index not on OpenRouter 4.8
AA Coding Index not on OpenRouter 4.8
AA Agentic Index not on OpenRouter 0.8
Max output tokens not on OpenRouter 104,857
API providers not on OpenRouter 1
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter No

API cost

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

Ministral-3-3B-Instruct-2512 $0.20

Download trend

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

16.6 M93 K
Qwen3-8B Ministral-3-3B-Instruct-2512

VRAM side by side

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

Ministral-3-3B-Instruct-2512 · fp16 11.4 GB / 24 GB
✅ Runs comfortably
Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons