Qwen3-8B vs Mistral-Small-24B-Instruct-2501

Specs, VRAM requirements and download trends — updated 24 October 2026.

Qwen · A · Open weights
Params
8.2 B
Context
40,960
30d
8.1 M
apache-2.0 · commercial OK
mistralai · B · Open weights
Params
23.6 B
Context
32,768
30d
74 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B Mistral-Small-24B-Instruct-2501
Deployment Open weights Open weights · also via API
Parameters 8.2 B 23.6 B
Architecture Qwen3ForCausalLM MistralForCausalLM
Context length 40,960 32,768
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 10
Downloads 30d 8,080,572 73,988
Downloads all time 133.5 M 7.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2025-01-28
API input price / 1M tokens not on OpenRouter $0.05
API output price / 1M tokens not on OpenRouter $0.08
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.13
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter 6.7
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 16,384
API providers not on OpenRouter 1
Tool calling not on OpenRouter No
Reasoning mode not on OpenRouter No

API cost

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

Mistral-Small-24B-Instruct-2501 $0.13

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

16.6 M70 K
Qwen3-8B Mistral-Small-24B-Instruct-2501

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-24B-Instruct-2501 · fp16 107.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons