Dagon Inference / Pricing / Kimi K3.1 Pro
Kimi K3.1 Pro API
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Dagon Inference serves Kimi K3.1 Pro through an OpenAI compatible API at https://inference.dagon.so/v1 and the Anthropic Messages API at https://inference.dagon.so/v1/messages, as model id kimi-k3.1-pro. It is a model with standard refusal behavior: it declines many requests that abliterated models answer. It costs $0.275 per million input tokens, $0.165 per million cached input tokens and $2.75 per million output tokens, with a 1,048,576 token context window, up to 65,536 output tokens per request and text and image input. 2 providers serve it: Refuseless and Silk Compute.
What does Kimi K3.1 Pro cost?
| Tokens | Price per 1M |
|---|---|
| Input | $0.275 |
| Cached input | $0.165 |
| Output | $2.75 |
A request with 10,000 input tokens and 1,000 output tokens costs 5,500 µ$, about $0.0055.
Prices are Refuseless's, the provider with the lowest typical cost for this model, plus the 10% markup, at price version 2026-11-11.4. A request that falls back to another provider is billed at that provider's rate plus the markup; its signed receipt names the provider. Every model: pricing, models.json, live /v1/models.
Which providers serve it, and at what price?
Ranked by typical cost per 1M tokens, weighted 3:1 input to output, as of this build. The live order at /v1/models weighs this model's own traffic when it has enough.
| Provider | Input | Cached | Output | Typical | Quantization | Context | Max output | Endpoints |
|---|---|---|---|---|---|---|---|---|
| Refuseless (cheapest) | $0.275 | $0.165 | $2.75 | $0.8938 | Not published | 1,048,576 | 65,536 | Chat, Responses |
| Silk Compute | $0.55 | $0.33 | $5.50 | $1.7875 | Not published | 1,048,576 | 65,536 | Chat, Responses, Messages |
US dollars per million tokens. Prices include the 10% markup. Each request goes to the cheapest healthy provider for that request's size, so this order is typical, not a guarantee.
What is it?
Kimi K3.1 Pro on standard weights. It keeps the base model's refusal behavior; for refusals removed, use Kimi K3.1 Pro Abliterated (kimi-k3.1-pro-abliterated). Text and image input, 1M context. Standard refusals
- Model id:
kimi-k3.1-pro - Refusals: standard
- Context window: 1,048,576 tokens
- Maximum output: 65,536 tokens per request (default cap 16,384)
- Input: text and image input
- Endpoints:
/v1/chat/completions,/v1/responses,/v1/messages - Providers: Refuseless and Silk Compute
We have not benchmarked it and make no claims about its quality. Individual requests may still be declined or answered poorly.
How do I call it?
Create a key with curl -X POST https://inference.dagon.so/v1/keys or in the console, fund it in USDC, then:
curl https://inference.dagon.so/v1/chat/completions \
-H "Authorization: Bearer $DAGON_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "kimi-k3.1-pro", "messages": [{"role": "user", "content": "Hello"}]}'With an OpenAI SDK, set the base URL to https://inference.dagon.so/v1 and the model to kimi-k3.1-pro. With an Anthropic SDK, use https://inference.dagon.so as the base URL; the Anthropic Messages guide has the details. The SDK guide has more examples.
Other models
- GLM-5.3 Abliterated · Refuseless, Experiential Labs, Silk Compute (
glm-5.3-abliterated): $1.10 input, $2.20 output per 1M tokens - DeepSeek V4.1 Flash Abliterated · Refuseless, Experiential Labs, Lutheos, Silk Compute (
deepseek-v4.1-flash-abliterated): $0.11 input, $0.44 output per 1M tokens - GLM-5.3 Flash Abliterated · Refuseless, Experiential Labs, Silk Compute (
glm-5.3-flash-abliterated): $0.132 input, $0.55 output per 1M tokens - Abliterated Large Flash · abliteration.ai (
abliterated-model-large-flash): $1.10 input, $2.20 output per 1M tokens - Abliterated Model · abliteration.ai (
abliterated-model): $1.10 input, $3.30 output per 1M tokens - Abliterated Large v2 · abliteration.ai (
abliterated-model-large-v2): $3.30 input, $5.50 output per 1M tokens - Kimi K3.1 Pro Abliterated · Silk Compute (
kimi-k3.1-pro-abliterated): $5.50 input, $16.50 output per 1M tokens - DeepSeek V4.1 Flash Fast · Refuseless (
deepseek-v4.1-flash-fast): $0.011 input, $0.088 output per 1M tokens - MiniMax M3.1 Flash · Refuseless (
minimax-m3.1-flash): $0.022 input, $0.088 output per 1M tokens - DeepSeek V4.1 Flash · Silk Compute (
deepseek-v4.1-flash): $0.022 input, $0.176 output per 1M tokens - GLM-5.3 Flash · Lutheos, Cheaper Inference (
glm-5.3-flash): $0.088 input, $0.462 output per 1M tokens - Hy4 · Silk Compute (
hy4): $1.76 input, $3.52 output per 1M tokens
Common questions
Which API serves Kimi K3.1 Pro?
Dagon Inference serves it as kimi-k3.1-pro at the OpenAI compatible base URL https://inference.dagon.so/v1 (Anthropic SDKs: https://inference.dagon.so), routing each request to the cheapest healthy one of Refuseless and Silk Compute. It costs $0.275 per million input tokens, $0.165 per million cached input tokens and $2.75 per million output tokens, paid in USDC from a prepaid key or per request with x402.
What does Kimi K3.1 Pro cost per million tokens?
$0.275 per million input tokens, $0.165 per million cached input tokens and $2.75 per million output tokens (model id kimi-k3.1-pro), including the 10% markup, at price version 2026-11-11.4.
What is the context window of Kimi K3.1 Pro?
1,048,576 tokens, with up to 65,536 output tokens per request through Dagon Inference.
Which providers serve kimi-k3.1-pro?
Refuseless and Silk Compute. Each request goes to the cheapest healthy one for that request's size, with fallback to the next cheapest if it fails before any output.