Kimi K3 is Moonshot AI's flagship model and its most capable release to date — a 2.8-trillion-parameter Mixture-of-Experts model built for long-horizon coding and end-to-end knowledge work. It pairs a 1M-token context window with native visual understanding, accepting text and image input with text output, and is designed to stay coherent across very long agentic sessions. Moonshot positions K3 for programming-agent scenarios such as Codex, Claude Code, Cline, and RooCode, as well as deep reasoning and knowledge work. It exposes a top-level reasoning_effort control and native tool calling, and speaks the OpenAI API format for drop-in integration. Note that K3 does not accept sampling parameters (no temperature / top_p / seed) — reasoning depth is controlled through reasoning_effort instead.
OpenAI-compatible — keep the SDK you already use
https://api.orcarouter.ai/v1from openai import OpenAI
client = OpenAI(
base_url="https://api.orcarouter.ai/v1",
api_key="$ORCAROUTER_API_KEY",
)
response = client.chat.completions.create(
model="kimi/kimi-k3",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatstopstructured_outputstool_choicetools| Input / 1M tokens | $3.00 |
| Output / 1M tokens | $15.00 |
| Cache read / 1M | $0.300 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
@misc{orcarouter_kimi_k3,
title = {Kimi K3 API},
author = {MoonshotAI},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/kimi/kimi-k3}
}MoonshotAI. (2026). Kimi K3 API. OrcaRouter. https://www.orcarouter.ai/models/kimi/kimi-k3