Qwen3-8B vs Mistral-Small-3.1-24B-Instruct-2503

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
24.0 B
Context
—
30d
246 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B Mistral-Small-3.1-24B-Instruct-2503
Deployment Open weights Open weights · also via API
Parameters 8.2 B 24.0 B
Architecture Qwen3ForCausalLM Mistral3ForConditionalGeneration
Context length 40,960 128,000
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 24
Downloads 30d 8,164,793 245,597
Downloads all time 133.8 M 4.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2025-03-11
API input price / 1M tokens not on OpenRouter $0.35
API output price / 1M tokens not on OpenRouter $0.56
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.91
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 not on OpenRouter 102,400
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

Mistral-Small-3.1-24B-Instruct-2503 $0.91

Download trend

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

16.6 M246 K
Qwen3-8B Mistral-Small-3.1-24B-Instruct-2503

VRAM side by side

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

Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context
Mistral-Small-3.1-24B-Instruct-2503 · fp16 109.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons