Kimi K2.5
Moonshot AIKimi K2.5 by Moonshot AI — $0.6/M input, $2/M output, 128K context window. Compare pricing and capabilities with other AI models.
Input Price
$0.60
per 1M tokens
Output Price
$2.00
per 1M tokens
Context Window
128K
tokens
Specifications
| Provider | Moonshot AI |
| Model ID | kimi-k2-5 |
| Input Price | $0.6 / 1M tokens |
| Output Price | $2 / 1M tokens |
| Context Window | 128K tokens |
| Max Output | 8K tokens |
| Capabilities | textvisionfunction_calling |
| Release Date | 2026-01 |
| Notes | 76.8% SWE-bench. Strongest open-source model. Agent Swarm support. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $0.39 | $4.68 |
| 50K | $1.95 | $23.40 |
| 100K | $3.90 | $46.80 |
| 500K | $19.50 | $234.00 |
| 1.0M | $39.00 | $468.00 |
About Kimi K2.5
Kimi K2.5 is a large language model by Moonshot AI. It features a 128K token context window with up to 8K tokens of output per request. The model supports 3 capabilities: text, vision, function_calling.
At $0.6 per million input tokens and $2 per million output tokens, Kimi K2.5 is positioned as a cost-effective option in the Moonshot AI lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
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FAQ
How much does Kimi K2.5 cost?
Kimi K2.5 costs $0.6 per million input tokens and $2 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $4.80/month.
What is Kimi K2.5's context window?
Kimi K2.5 supports a context window of 128K tokens. This means your combined input prompt and output response can be up to 128K tokens. The maximum output per response is 8K tokens.
Is Kimi K2.5 good for my use case?
Kimi K2.5 supports text, vision, function_calling. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.