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// Kimi · Vision-language

Kimi-K3: VRAM & local deployment

2.8T total · 104B active (MoE) parameters. About 1.87 TB at 4-bit and 6.16 TB at BF16 with one 8K-token request.

released 2026-06-13licence: Custom licence – read itmemory figures are estimates

01Specs

PublisherMoonshot AI · moonshotai
Family / seriesKimi · Kimi-K3
TypeVision-language (image-text-to-text)
Parameters2.8T total · 104B active (MoE) Source: official model card“Total Parameters 2.8T · Activated Parameters 104B”
Context length1M tokens (1,048,576)max_position_embeddings in config.json
Architecture93 layers (24 full-attention) · MLA+HYBRID · MoE
Released weightspacked quantised tensors (U8, e.g. MXFP4 / INT4) · 1.56 TBdownload
Licencekimi-k3 · Custom licence – read itThe publisher uses its own licence; we have not classified it. Read the licence text.
Released2026-06-13 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)5.60 TB 6.16 TB6.16 TB6.16 TB multi-node—
FP8 / INT8 / Q8_02.98 TB 3.27 TB3.27 TB3.28 TB 2 × 8 × B300 nodes (4,608GB)—
4-bit (Q4_K_M / AWQ / GPTQ-Int4)1.70 TB 1.87 TB1.87 TB1.87 TB 8 × B300 (2,304GB)—

KV cache per request: 8K 0.2 GB · 32K 0.9 GB · 128K 3.6 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from moonshotai.

05Other Kimi models

All 14 →
ModelParams4-bit totalReleased
Kimi-K2.7-Code1T / 32B668 GB2026-06-11
Kimi-K2.61T / 32B668 GB2026-04-14
Kimi-K2.51T / 32B668 GB2026-01-01
Kimi-K2-Thinking1T / 32B668 GB2025-11-04
Kimi-Linear-48B-A3B-Instruct49.1B / 3B33.3 GB2025-10-30
Kimi-K2-Instruct-09051T / 32B668 GB2025-09-03
Kimi-K2-Instruct1T / 32B668 GB2025-07-11
Kimi-VL-A3B-Thinking-250616.4B / 3B11.7 GB2025-06-21

06Sources

Data checked 2026-09-02. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)