Moonshot AI API pricing
Prices per million tokens for the 4 Moonshot AI models we track, with context windows and what a typical task costs. The cheapest is Kimi K2.7 Code at $0.671 input and $3.35 output per million tokens; the largest context window is Kimi K3.1 Pro's 1.0M tokens. Updated 25 Oct 2026.
| Model | Input / 1M | Output / 1M | Context | Tools | Reasoning |
|---|---|---|---|---|---|
| Kimi K2.7 Code | $0.671 | $3.35 | 262K | Yes | Yes |
| Kimi K2.6 | $0.650 | $3.41 | 262K | Yes | Yes |
| Kimi K3.1 Pro | $2.00 | $10.00 | 1.0M | Yes | Yes |
| Kimi K3 | $0.239 | $10.80 | 1.0M | Yes | Yes |
What Moonshot AI models cost per task
Using the listed prices, for three common jobs: a chat turn (2,000 tokens in, 500 out), summarising a 100,000-token document into 2,000 tokens, and a long agent run (1 million in, 50,000 out).
- Kimi K2.7 Code: chat turn $0.0030, document $0.074, agent run $0.839
- Kimi K2.6: chat turn $0.0030, document $0.072, agent run $0.821
- Kimi K3.1 Pro: chat turn $0.0090, document $0.220, agent run $2.50
- Kimi K3: chat turn $0.0059, document $0.045, agent run $0.779
How Moonshot AI compares with other providers
Across all 40 models we track, the cheapest Moonshot AI model ranks #20 by output price. For a model-by-model comparison, see the full price table or the guide to choosing an LLM.
Other providers: Anthropic pricing · OpenAI pricing · Google pricing · Meta pricing · DeepSeek pricing · Mistral AI pricing · Qwen (Alibaba) pricing · xAI pricing · Z.ai pricing
Moonshot AI in the news
- Moonshot Drops Kimi K2.6 — Four Models, 300 Parallel Agents 20 Apr 2026
- Kimi K3.1 Pro: 2.8T open model trails only Opus 5.5 23 Oct 2026
- Cognition Drops SWE-2: Fine-Tuning a 2.8T Model for Shell Dominance September 14, 2026
- Kimi K3: Open Frontier Intelligence - Moonshot AI's Open-Weight Model Challenges Western Dominance August 20, 2026
Prices and limits come from OpenRouter's public model catalogue, last synced 25 Oct 2026. Moonshot AI's own API pricing can differ and changes often; confirm on its pricing page before you commit.
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