Kimi K3 API model profile

Evidence snapshot: 2026-08-12

Kimi K3 is a Moonshot AI model profile with a 1,048,576-token context window. The dated catalog snapshot records text, image, video modalities and interfaces for agentic, coding, prompt caching, reasoning, reasoning controls.

Kimi K3 is available under the Kendr alias kc-kimi-k3. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.

Kimi K3 accepts text, image, and video and returns text. The snapshot records agentic, coding, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, video input, and vision as capabilities or interfaces.

Kimi K3 ranked #13 in the cited trailing-7-day third-party catalog usage dataset as of 2026-08-12. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type: Kendr API model
Kendr API alias: kc-kimi-k3
Model developer: Moonshot AI
Kendr route provider: Ollama Cloud
Context window: 1.05M
Snapshot date: 2026-08-12
Reference catalog ID: moonshotai/kimi-k3

Context, modalities, and identity

Model developer: Moonshot AI
Kendr route provider: Ollama Cloud
Context window: 1.05M
Maximum output: No verified numeric limit
Input modalities: text, image, and video
Output modalities: text
Knowledge cutoff: Not disclosed

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

agentic
coding
prompt caching
reasoning
reasoning controls
structured output
text generation
tool calling
tools
video input
vision

Dated pricing snapshot

Reference figures are dated 2026-08-12; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date: 2026-08-12
Input: $3 per 1M tokens
Cached input: $0.3 per 1M tokens
Output: $15 per 1M tokens

Benchmark evidence and limitations

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index: 59.7
Coding Index: 76.2
Agentic Index: 54.3

Design Arena category	Elo	Win rate	Rank
androidnative	1248	55.2%	#8
godotgamedev	1199	48.5%	#11
mobileapps	1302	61.5%	#1
python-pptxslides	1372	70.3%	#1
webapps	1330	63.9%	#1
3d	1453	69.4%	#1
codecategories	1413	66.8%	#1
dataviz	1381	65.6%	#2
uicomponent	1392	64.4%	#1
website	1378	63.8%	#1

Popularity and market context

Third-party catalog rank: #13
Global market share: Not inferred
Observation date: 2026-08-12

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-kimi-k3","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

What is Kimi K3?

What context window does Kimi K3 have?

The dated profile lists 1.05M of context. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Kimi K3?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 10 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

What is the Kendr API alias for Kimi K3?

Use kc-kimi-k3 as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.

How is Kimi K3 priced on Kendr?

The dated reference snapshot lists $3 input and $15 output per million tokens. Cached input is $0.3 per million tokens. The separately published provider-route reference is $3 / $15 ($0.30/M cached; uses extra Ollama credits). Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.

Sources and evidence dates

Kimi K3 third-party catalog record (catalog, checked 2026-08-12)
Third-party model catalog methodology (methodology, checked 2026-08-12)
Moonshot AI official model documentation (primary, checked 2026-08-12)
Artificial Analysis capability indices methodology (benchmark, checked 2026-08-12)
Design Arena leaderboard and methodology (benchmark, checked 2026-08-12)
Kimi K3 provider or route reference (primary, checked 2026-08-12)