Model
Model explorer

Kimi K3

OPEN
Moonshot AI · Kimi K3 family · released Jul 16, 2026

Moonshot's new flagship generation succeeding the K2.x line, launched July 16, 2026: 2.8T total parameters (vs. K2.6/K2.7's ~1T), a new Stable LatentMoE architecture (16-of-896 experts active per token, versus K2's 8 routed + 1 shared of 384) and Kimi Delta Attention, a 1M-token context window (up from K2's 256K), and a single always-on reasoning tier (no separate Instruct/Thinking split as with K2). Input pricing is $3.00/M tokens (cache-miss) with a 90%-discounted $0.30/M cache-hit rate, output $15.00/M. IMPORTANT CAVEAT: open weights are not yet published as of this research (2026-07-17, the day after launch) -- Moonshot has stated they will ship by July 27, 2026. The model is live now only via kimi.com, Kimi Work, Kimi Code, the Kimi API, and OpenRouter; no HuggingFace repo exists yet (huggingface.co/moonshotai still lists Kimi-K2.7-Code as the newest entry). The formal license text has also not been published; the value above reflects Moonshot's K2.x precedent (Modified MIT), not a confirmed K3 term -- re-verify once weights ship.

ReasoningCodingVisionFunction callingTool useAgentic
3025.3
Elo · rank #2
Parameters
2800B
Active params
Undisclosed
Context
1.024M tokens
Architecture
2.8T-parameter MoE, Stable LatentMoE framework activating 16 of 896 experts per token, Kimi Delta Attention (hybrid linear attention) with Attention Residuals, 1M-token context, always-on reasoning (single reasoning_effort=max tier at launch)
License
Modified MIT License (precedent from the K2.x line; not yet formally published for K3)
Languages
API price (in/out)
$3 / $15
Modalities
text · vision
Benchmark results
Bar shows position within the tracked field; marker = field best
BrowseCompAgents91.2%#1
best: this model · 91.2%
GDPval-AAAgents1668#5
best: Claude Fable 5 · 1932
GPQA DiamondReasoning93.5%#8
best: GPT-5.6 · 94.6%
Humanity's Last ExamReasoning56.0%#2
best: Claude Sonnet 5 · 57.4%
MCP AtlasAgents84.2%#1
best: this model · 84.2%
Terminal-Bench 2.0Coding88.3%#2
best: GPT-5.6 · 88.8%
Run it locally
VRAM @ Q4
VRAM @ FP16
Fits on (Q4)
Multi-node cluster required
Throughput data unavailable.
Quantizations
Kimi K3 family
Elo progression across releases
API price $3/$15 · each benchmark row carries its own source badge (see methodology)