WhichAI / Models / Kimi K3

Kimi K3

· verified September 8, 2026

public free paid api open-weights in Generator coding reasoning agents vision long-context

Provider

Statuspublic

AA Intelligence Index59.7 (September 8, 2026 snapshot)

Released2026-07-16

Context window1M

ModalitiesText + vision

API price $/1M (in / out)$3 / $15

Speedn/a

AccessAPI $3/$15 per 1M tokens ($0.30 cached) · free kimi.com chat · open weights on Hugging Face (July 27, Modified MIT)

In one line

Moonshot's July flagship: 2.8T-parameter MoE, 1M context, native vision, and the best published BrowseComp score (91.2%). The strongest agentic challenger to the US frontier, and the largest model whose weights you can actually download.

Coding90

Reasoning91

Writing78

Agents & tools94

Category scores (0-100) are WhichAI blended ratings: public category leaderboards plus editorial judgment. Guidance, not official measurements.

Alternatives worth a look

GLM-5.3 (Z.ai) · AA 59.5Released August 14, 2026 · staged access · open weights NOT released at launch (unlike every previous GLM) · API price not published
GPT-5.6 Sol (OpenAI) · AA 58.9Released July 9, 2026 (rolling out) · API $5/$30 per 1M tokens · up to 750 tok/s on Cerebras
Gemini 3.8 Flash (Google) · AA 58.7Released September 2, 2026 · API $0.75/$3.75 per 1M tokens ($0.075 cached) · free-tier availability not confirmed

Head-to-head: Kimi K3 vs GPT-5.6 Sol · Kimi K3 vs GLM-5.2 · Kimi K3 vs Claude Opus 4.8

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Artificial Analysis Intelligence Index, 2026 rebased scale (top models ~ 55-66). Snapshot: September 4, 2026 (BenchLM mirror), retrieved September 8, 2026. Specs and prices come from the OpenRouter public model list on the same date. Models nobody has measured carry no index score at all and never enter a ranking: where an estimate exists it is shown separately and labelled unmeasured. Context, price, modality and release dates come from the public OpenRouter model list (retrieved September 8, 2026) and vendor pages. Missing values are not published or not yet verified - shown as -. Sources are linked inside the app (Model guide and About > Methodology).