Last refreshed 2026-09-24. Next refresh: weekly.
Why use Kimi K3 on Featherless?
Featherless offers Kimi K3 with pay-as-you-go pricing at $3.00/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).
Compare Kimi K3 across 3 providers to find the best fit for your use caseInput / 1M
$3.00
Output / 1M
$15.00
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FEATHERLESS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",Model ID
moonshotai/Kimi-K3Request example
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",
api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
model="moonshotai/Kimi-K3",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "moonshotai/Kimi-K3", not the LLMReference slug "kimi-k3".
- Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
- The examples expect FEATHERLESS_API_KEY; rename it only if your application config maps the new variable.
Compare Kimi K3 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Moonshot AI Kimi | $3.00 | $15.00 |
| OpenRouter | $2.00 | $11.20 |
| Featherless | $3.00 | $15.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $3.00 |
| Output tokens | $15.00 |
Capabilities
VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching
About Kimi K3
Kimi K3 is Moonshot AI's 2.8-trillion-parameter flagship multimodal model for long-horizon coding, knowledge work, deep reasoning, and agentic workflows. It uses Kimi Delta Attention, Attention Residuals, and a sparse MoE design (16 of 896 experts active), supports a 1,048,576-token context window, text/image/video input, always-on reasoning, ToolCalls, strict JSON Schema structured output, automatic context caching, and partial mode through Moonshot's OpenAI-compatible API.
Get Started
Model Specs
Released2026-07-14
Parameters2.8T total; 16 of 896 experts active
Context1.05m
ArchitectureMixture of Experts