Qwen2.5-VL-3B-Instruct vs Kimi-K2.5

Specs, VRAM requirements and download trends — updated 28 July 2026.

Qwen · A · Open weights
Params
3.8 B
Context
128,000
30d
1.7 M
moonshotai · B · Open weights
Params
1,058.6 B
Context
—
30d
804 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-VL-3B-Instruct Kimi-K2.5
Deployment Open weights Open weights · also via API
Parameters 3.8 B 1,058.6 B
Architecture Qwen2_5_VLForConditionalGeneration KimiK25ForConditionalGeneration
Context length 128,000 256,000
Licence — other
Commercial use Unknown Unknown
Languages 1 —
Downloads 30d 1,736,195 803,810
Downloads all time 105.4 M 15.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-01-26 2026-01-01
API input price / 1M tokens not on OpenRouter $0.53
API output price / 1M tokens not on OpenRouter $3.33
Est. cost per 1M input + 1M output tokens not on OpenRouter $3.86
Cached input / 1M tokens not on OpenRouter $0.21
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter 46.8
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 65,536
API providers not on OpenRouter 5
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter Yes

API cost

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

Kimi-K2.5 $3.86

Download trend

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

7.2 M804 K
Qwen2.5-VL-3B-Instruct Kimi-K2.5

VRAM side by side

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

Qwen2.5-VL-3B-Instruct · fp16 @ 125K ctx 17.5 GB / 24 GB
✅ Runs comfortably
Kimi-K2.5 · fp16 814.0 GB / 24 GB
❌ Won’t fit

Adjacent comparisons