moonshotai / image-text-to-text Open weights Also via API updated 5 months ago

Kimi-K2.6

Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.

Params
1,058.6 B
Context
—
Downloads 30d
834 K
Likes
1,591
Licence: other Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 106 days
▲ 0 in the last 30 days (0.0%)
884 K805 K
Jul 28Sep 1Oct 6Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors i32 595.2 GB 814.0 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Use via API

via OpenRouter · USD per 1M tokens · synced 2026-11-10
$0.65
input / 1M
$3.41
output / 1M
$0.15
cached input / 1M
$4.06
1M in + 1M out
Context window
262,144 tokens
Max output
235,929 tokens
Providers
16
Cheapest provider
Chutes · $0.39 / $1.80
Best throughput
—
AA Intelligence / Coding / Agentic
— / 61.8 / 20.5
✓ Tool calling ✓ Reasoning ✓ Structured outputs ✓ Image input ✗ File input ✗ Audio input ✓ Prompt caching

Specifications

Architecture
KimiK25ForConditionalGeneration
Parameters
1,058.6 B
Tensor type
I32
Licence
other
First seen on the Hub
2026-04-14
Training datasets
undisclosed
Added to our catalog
2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any image-text-to-text model