Qwen2.5-7B-Instruct vs granite-4.0-h-micro

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
ibm-granite · B · Open weights
Params
3.2 B
Context
131,072
30d
9 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct granite-4.0-h-micro
Deployment Open weights · also via API Open weights · also via API
Parameters 7.6 B 3.2 B
Architecture Qwen2ForCausalLM GraniteMoeHybridForCausalLM
Context length 32,768 131,072
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 —
Downloads 30d 6,369,723 9,011
Downloads all time 190.0 M 254 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2025-09-16
API input price / 1M tokens $0.10 $0.017
API output price / 1M tokens $0.20 $0.11
Est. cost per 1M input + 1M output tokens $0.30 $0.13
Cached input / 1M tokens — —
AA Intelligence Index — 5.1
AA Coding Index — —
AA Agentic Index — —
Max output tokens 29,491 117,900
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
granite-4.0-h-micro $0.13

granite-4.0-h-micro is 2.3× cheaper at list price.

Download trend

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

12.3 M9 K
Qwen2.5-7B-Instruct granite-4.0-h-micro

VRAM side by side

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

granite-4.0-h-micro · fp16 @ 128K ctx 15.2 GB / 24 GB
✅ Runs comfortably
Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons