Qwen2.5-7B-Instruct vs Mistral-Small-24B-Instruct-2501

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

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.4 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 Qwen2.5-7B-Instruct Mistral-Small-24B-Instruct-2501
Deployment Open weights · also via API Open weights · also via API
Parameters 7.6 B 23.6 B
Architecture Qwen2ForCausalLM MistralForCausalLM
Context length 32,768 32,768
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 10
Downloads 30d 6,369,723 73,988
Downloads all time 190.0 M 7.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2025-01-28
API input price / 1M tokens $0.10 $0.05
API output price / 1M tokens $0.20 $0.08
Est. cost per 1M input + 1M output tokens $0.30 $0.13
Cached input / 1M tokens — —
AA Intelligence Index — 6.7
AA Coding Index — —
AA Agentic Index — —
Max output tokens 29,491 16,384
API providers 1 1
Tool calling Yes No
Reasoning mode No No

API cost

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

Qwen2.5-7B-Instruct $0.30
Mistral-Small-24B-Instruct-2501 $0.13

Mistral-Small-24B-Instruct-2501 is 2.3× cheaper at list price.

Download trend

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

12.3 M70 K
Qwen2.5-7B-Instruct Mistral-Small-24B-Instruct-2501

VRAM side by side

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

Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably
Mistral-Small-24B-Instruct-2501 · fp16 107.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons