FitMyLLM
Moonshot AI/Mixture of Experts

MKimi 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.

chatcodingreasoningmultilingualvisionmathagentictool_use
1026.5B
Parameters (32B active)
256K
Context length
9
Benchmarks
17
Quantizations
0
Architecture
MoE
Released
2026-04-20
Layers
61
KV Heads
64
Head Dim
112
Family
kimi

Quantization Options

QuantBitsVRAMQuality
IQ2_XXS2.38305.9 GBlow
IQ2_M2.93376.4 GBlow
Q2_K3.16406.0 GBlow
IQ3_XXS3.25417.5 GBlow
IQ3_XS3.5449.6 GBlow
Q3_K_S3.64467.5 GBlow
IQ3_M3.76482.9 GBlow
Q3_K_M4513.7 GBlow
Q3_K_L4.3552.2 GBmoderate
IQ4_XS4.46572.8 GBmoderate
Q4_K_S4.67599.7 GBmoderate
Q4_K_M4.89627.9 GBgood
Q5_K_S5.57715.2 GBgood
Q5_K_M5.7731.9 GBgood
Q6_K6.56842.2 GBexcellent
Q8_08.51091.1 GBlossless
FP16162053.5 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN KIMI K2.6 NOW

Rent on RunPod →Or Vast.ai →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (9)

τ²-Bench95.9
GPQA Diamond91.1
IFBench76.0
AA Long Context69.7
AA Intelligence53.9
SciCode53.5
AA Coding47.1
Terminal-Bench43.9
HLE35.9

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run kimi:1027b-q4_K_M

Tag may need adjustment — check ollama.com/library/kimi for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines
HuggingFaceGGUF DownloadsBuild Hardware

Find the best GPU for Kimi K2.6

Build Hardware for Kimi K2.6
▸ SPEC SHEET

Kimi K2.6 — 1026.5B MoE.

▸ SPECIFICATIONS
PARAMETERS
1026.5B (32B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, vision, math, agentic, tool_use
RELEASE DATE
2026-04-20
PROVIDER
Moonshot AI
FAMILY
kimi
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ2_XXS2.38305.9 GB65%
IQ2_M2.93376.4 GB75%
Q2_K3.16406.0 GB78%
IQ3_XXS3.25417.5 GB82%
IQ3_XS3.5449.6 GB84%
Q3_K_S3.64467.5 GB85%
IQ3_M3.76482.9 GB86%
Q3_K_M4513.7 GB88%
Q3_K_L4.3552.2 GB90%
IQ4_XS4.46572.8 GB92%
Q4_K_S4.67599.7 GB93%
Q4_K_M4.89627.9 GB94%
Q5_K_S5.57715.2 GB96%
Q5_K_M5.7731.9 GB96%
Q6_K6.56842.2 GB97%
Q8_08.51091.1 GB100%
FP16162053.5 GB100%
§ 01BENCHMARK SCORES
GPQA Diamond91.1
HLE35.9
AA Intelligence53.9
AA Coding47.1
aa_ifbench76.0
aa_terminal_bench43.9
aa_tau295.9
aa_scicode53.5
aa_lcr69.7