ToolsRecipesCompareDGX SparkModelsPeopleAboutSponsor

← Best local models

#5 Kimi K3

Strongest open weights, but not runnable on any home rig, so ranked for awareness, not practicality.

Version
Kimi-K3
Maker
Moonshot AI
Release date
2026-06-13 (HF) (Hugging Face repo creation date unless noted)
Architecture
MoE (16 of 896 experts), Kimi Delta Attention, native vision
Total params
2.8T
Active params
~104B (Yotta Labs) unverified
Context length
1M
License
Kimi K3 License (custom)
Commercial notes
Extra conditions only above $20M/yr revenue or 100M MAU (per Yotta Labs)
Variants
  • Kimi-K3 (MXFP4 QAT weights)
  • Kimi K2.7-Code
  • Kimi K2.6
  • Kimi K3.1 Pro (reported 2026-10-23; weights not found on HF)
Memory
BF16/native: 1.56 TB MXFP4 (Yotta Labs)
FP8: no published figure yet
Q8: no published figure yet
Q4: 1.56 TB is already ~4-bit
Needs 1.6 TB+ aggregate GPU memory
Hardware
Single Spark (128GB): No
Dual Spark (256GB): No
Quad Spark (~512GB): No
24GB GPU: No
128GB Mac / Strix: No
Exceeds even quad Spark
Tokens/sec
no published figure yetSpeeds come from the cited sources. Entries marked "hosted, not local" are cloud API speeds, and "ESTIMATE" entries are estimates. Neither is a local measurement.
Document Q&A strengths
  • Best open model on BenchLeader (64.7)
  • 1M context; BrowseComp 90.4 with full 1M ctx (model card)
  • Leads coding/long agent loops
Embedding / reranker pairing
no published figure yet
Runtimes
Ollama: listed (kimi-k3; almost certainly cloud-only) unverified
llama.cpp: no published figure yet
vLLM: Yes (official recipe)
LM Studio: no published figure yet
Hugging Face
https://huggingface.co/moonshotai/Kimi-K3

⚠️ The Ollama listing for this model may be a cloud-only tag, not local weights. Check before pulling.

DGX Spark configs it fits

None of the single, dual or quad Spark configs, based on published memory sizes.

Spark fit is estimated from published memory sizes, not tested on Spark hardware.

Sources

Last updated Oct 24, 2026. Fields tagged unverified lack a primary source. "No published figure yet" means we found no source, and we don't guess. Spark fit is estimated from published memory sizes, not tested on Spark hardware. Ollama listings may be cloud-only tags; check this for Kimi K3 and DeepSeek V4.1 before pulling.

The RAGShelf weekly

New local RAG tools, releases, and tested setups. One email a week, no spam.