Qwen2.5-7B-Instruct vs Mistral-Nemo-Instruct-2407

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
12.2 B
Context
131,072
30d
191 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct Mistral-Nemo-Instruct-2407
Deployment Open weights · also via API Open weights · also via API
Parameters 7.6 B 12.2 B
Architecture Qwen2ForCausalLM MistralForCausalLM
Context length 32,768 131,072
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 9
Downloads 30d 6,077,597 191,347
Downloads all time 190.2 M 10.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2024-07-17
API input price / 1M tokens $0.10 $0.029
API output price / 1M tokens $0.20 $0.03
Est. cost per 1M input + 1M output tokens $0.30 $0.059
Cached input / 1M tokens — —
AA Intelligence Index — —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 29,491 16,384
API providers 1 5
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
Mistral-Nemo-Instruct-2407 $0.059

Mistral-Nemo-Instruct-2407 is 5.1× cheaper at list price.

Download trend

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

12.3 M191 K
Qwen2.5-7B-Instruct Mistral-Nemo-Instruct-2407

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-Nemo-Instruct-2407 · fp16 @ 128K ctx 83.8 GB / 24 GB
❌ Won’t fit

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