Qwen2.5-7B-Instruct vs Ministral-3-3B-Instruct-2512

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
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 Qwen2.5-7B-Instruct Ministral-3-3B-Instruct-2512
Deployment Open weights · also via API Open weights · also via API
Parameters 7.6 B 3.8 B
Architecture Qwen2ForCausalLM Mistral3ForConditionalGeneration
Context length 32,768 131,072
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 11
Downloads 30d 6,077,597 93,398
Downloads all time 190.2 M 4.0 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2025-10-31
API input price / 1M tokens $0.10 $0.10
API output price / 1M tokens $0.20 $0.10
Est. cost per 1M input + 1M output tokens $0.30 $0.20
Cached input / 1M tokens — $0.01
AA Intelligence Index — 4.8
AA Coding Index — 4.8
AA Agentic Index — 0.8
Max output tokens 29,491 104,857
API providers 1 1
Tool calling Yes Yes
Reasoning mode No No

API cost

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

Qwen2.5-7B-Instruct $0.30
Ministral-3-3B-Instruct-2512 $0.20

Ministral-3-3B-Instruct-2512 is 1.5× cheaper at list price.

Download trend

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

12.3 M93 K
Qwen2.5-7B-Instruct 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
Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons