Kimi K3.1 Pro Highspeed pricing, context window and limits
Kimi K3.1 Pro Highspeed costs $3.8874 per million input tokens and $20.3342 per million output tokens at Moonshot AI list price. It accepts up to 1,048,576 tokens of context and returns up to 1,048,576 tokens.
- Model id
kimi-k3.1-pro-highspeed - Snapshot
What does Kimi K3.1 Pro Highspeed cost?
| Input | $3.8874 |
|---|---|
| Output | $20.3342 |
| Cached input (read) | $0.1944 |
| Cache write | $3.8874 |
US dollars per million tokens. A dash means no price is published.
How much can Kimi K3.1 Pro Highspeed read and write?
| Context window | 1,048,576 |
|---|---|
| Max output | 1,048,576 |
What can Kimi K3.1 Pro Highspeed do?
| Vision (image input) | Yes |
|---|---|
| Tool calling | Yes |
| Structured output | Yes |
| Reasoning | Yes |
| Input | text, image, video |
| Output | text |
What does a request to Kimi K3.1 Pro Highspeed cost?
| A typical request: 1,000 tokens in, 500 out | $0.014 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.059 |
| 1,000 typical requests | $14.05 |
| 1 million tokens in and 1 million out | $24.22 |
Input read from the provider's prompt cache costs $0.1944 per million tokens instead of $3.8874, 95% less. A request that repeats a 1,000-token prompt from the cache costs $0.01 instead of $0.014.
Among 6 Moonshot AI models with a published price, Kimi K3.1 Pro Highspeed is the 6th cheapest by input price. Its context window is the largest of 6. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call Kimi K3.1 Pro Highspeed through DVARA?
Configure the moonshot provider in the DVARA LLM Gateway and send the model id kimi-k3.1-pro-highspeed. DVARA, the AI gateway, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set gets no cost record: its calls count against no budget and appear in no report, and the gateway records the model as unpriced. Every cost record says which price it used.
What should I check before relying on this data?
The weekly review marked this entry. A person saw each mark and kept the model listed.
- The cached-input price is outside the usual 10–50% of the input price.
Which other Moonshot AI models are there?
- Kimi K3.1 Pro$1.9437 in · $10.1671 out · 1.05M context
- Kimi K3$2.9879 in · $14.9395 out · 1.05M context
- Kimi K2.7 Code HighSpeed$1.9421 in · $8.0673 out · 262K context
- Kimi K2.7 Code$0.9711 in · $4.0337 out · 262K context
- Kimi K2.6$0.9711 in · $4.0337 out · 262K context
Which models from other providers are similar to Kimi K3.1 Pro Highspeed?
These are the closest in context window and input price, one per provider.
- GPT-5.6 Sol (Global)Amazon Bedrock · $4 in · $20 out · 1.05M context
- GPT-5.6OpenAI · $4 in · $20 out · 1.05M context
- Claude Opus 5.5Anthropic · $4 in · $20 out · 1M context
- Gemini 3.1 Pro PreviewGoogle Gemini · $2 in · $12 out · 1.05M context
- Qwen Deep ResearchAlibaba Qwen · $7.742 in · $23.367 out · 1M context