Kimi K3
New$3.00
$15.00
2026-07-16
- Positioning
- Flagship, as the vendor describes it.Source
- Price
- Level 3 of 4 among text models ($ is the cheapest), by output price per 1M tokens: $5 to under $20.
- Vendor-stated speed
- Not shown: the vendor doesn't compare this model's speed.
Three separate signals, not a quality score.
Kimi K3 is a Moonshot (Kimi) text model on ATP Token, billed per 1M input and output tokens, with a lower cached-input rate.
Pricing
Moonshot (Kimi) · Family · USD / 1M tokens
| Model | Input | Output |
|---|---|---|
| Kimi K3 This pagekimi-k3 | $3.00 | $15.00 |
| Kimi K2.6kimi-k2.6 | $0.95 | $4.00 |
| Kimi K2.7 Codekimi-k2.7-code | $0.95 | $4.00 |
Cost per 1,000 typical requests
| Workload | USD / 1,000 |
|---|---|
| Short chat turn800 / 400 | $8.40 |
| RAG answer4,000 / 500 | $19.50 |
| Agent step with tools20,000 / 1,500 | $82.50 |
Benchmarks
- Terminal-Bench 2.188.3%
reasoning effort max, temperature 1.0, top-p 1.0; Kimi Code harness
Moonshot AI - DeepSWE67.5%
DeepSWE v1.1 tasks; Kimi Code harness; reasoning effort max (67.3 with mini-SWE-agent)
Moonshot AI - HLE-Full43.5% / 56.0%
without / with tools (general tools); reasoning effort max, top-p 0.95
Moonshot AI - BrowseComp91.2%
context compaction at 300K tokens; reasoning effort max (90.4 with full 1M context, no context management)
Moonshot AI
| Benchmark | Score | Source |
|---|---|---|
| Terminal-Bench 2.1reasoning effort max, temperature 1.0, top-p 1.0; Kimi Code harness | 88.3% | Moonshot AI |
| DeepSWEDeepSWE v1.1 tasks; Kimi Code harness; reasoning effort max (67.3 with mini-SWE-agent) | 67.5% | Moonshot AI |
| HLE-Fullwithout / with tools (general tools); reasoning effort max, top-p 0.95 | 43.5% / 56.0% | Moonshot AI |
| BrowseCompcontext compaction at 300K tokens; reasoning effort max (90.4 with full 1M context, no context management) | 91.2% | Moonshot AI |
Scores as published by each vendor, not measured by ATP. Test conditions vary, so they are not directly comparable across vendors.
Same controls on every model: project keys, per-project model access, credit budgets, and a log of every request.Set up your organization
Cost estimator
- Input$30.00
- Output$30.00
$60.00 USD / month · 6,000 credits / month
Quickstart
from openai import OpenAI
client = OpenAI(
base_url="https://api.atptoken.ai/v1",
api_key="atp-•••"
)
r = client.chat.completions.create(
model="kimi-k3",
messages=[{"role":"user","content":"hi"}],
)Compare with similar models
- Gemini 3.1 Pro (Preview)GooglePositioning: Flagship. Price level 3 of 4 among text models.$2.00 / $12.00In / out · per 1M tokens
- Claude Opus 4.7AnthropicPositioning: Flagship. Price level 4 of 4 among text models. Vendor-stated speed: Moderate.$5.00 / $25.00In / out · per 1M tokens
- Qwen 3.6 MaxQwen (Alibaba)Positioning: Flagship. Price level 3 of 4 among text models.$1.29 / $7.71In / out · per 1M tokens
FAQ
- Can Kimi K3 use tools, read images, or think before answering?
- Kimi K3 supports tool calling and extended thinking, but not vision input or audio.
- Is cached input cheaper on Kimi K3?
- You pay per 1M input tokens and per 1M output tokens. Cached input costs 10% of the normal input price. You only pay when a request succeeds. $1 = 100 credits. See pricing
- How do I call Kimi K3 on ATP?
- Create a project API key and point any OpenAI-compatible SDK at https://api.atptoken.ai/v1. Set model to "kimi-k3" (the API id, not the display name). Make sure the model is turned on for your project.
Start with $5. Credits never expire.
Create a project key, turn this model on, and pay only for what you use.