Qwen2.5-7B-Instruct vs xflux_text_encoders

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.0 M
apache-2.0 · commercial OK
XLabs-AI · B · Open weights
Params
4.8 B
Context
—
30d
288 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct xflux_text_encoders
Deployment Open weights · also via API Open weights
Parameters 7.6 B 4.8 B
Architecture Qwen2ForCausalLM T5EncoderModel
Context length 32,768 —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 1
Downloads 30d 6,037,480 287,766
Downloads all time 194.0 M 5.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2024-08-11
API input price / 1M tokens $0.10 not on OpenRouter
API output price / 1M tokens $0.20 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.30 not on OpenRouter
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 29,491 not on OpenRouter
API providers 1 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode No not on OpenRouter

API cost

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

Qwen2.5-7B-Instruct $0.30

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

12.3 M232 K
Qwen2.5-7B-Instruct xflux_text_encoders

VRAM side by side

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

xflux_text_encoders · fp16 11.7 GB / 24 GB
✅ Runs comfortably
Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons