Qwen2.5-VL-3B-Instruct vs Kimi-K2.6

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
834 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-VL-3B-Instruct Kimi-K2.6
Deployment Open weights Open weights · also via API
Parameters 3.8 B 1,058.6 B
Architecture Qwen2_5_VLForConditionalGeneration KimiK25ForConditionalGeneration
Context length 128,000 262,144
Licence — other
Commercial use Unknown Unknown
Languages 1 —
Downloads 30d 1,736,195 834,406
Downloads all time 105.4 M 7.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-01-26 2026-04-14
API input price / 1M tokens not on OpenRouter $0.65
API output price / 1M tokens not on OpenRouter $3.41
Est. cost per 1M input + 1M output tokens not on OpenRouter $4.06
Cached input / 1M tokens not on OpenRouter $0.15
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter 61.8
AA Agentic Index not on OpenRouter 20.5
Max output tokens not on OpenRouter 235,929
API providers not on OpenRouter 16
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-K2.6 $4.06

Download trend

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

7.2 M805 K
Qwen2.5-VL-3B-Instruct Kimi-K2.6

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-K2.6 · fp16 814.0 GB / 24 GB
❌ Won’t fit

Adjacent comparisons