Moonshot AI Kimi · LLM API pricing
Kimi K2.5 API pricing: cheapest provider
7 providers sell Kimi K2.5. DeepInfra is cheapest; the most expensive charges 1.3× as much for the same model.
- Cheapest$0.90per 1M · DeepInfra
- Input · output$0.45 / $2.25per 1M tokens
- Price gap1.3×across 7 providers
- Context262Kmax tokens
Standard list prices in USD from each provider's pricing page · last price change Sep 28, 2026 · How we collect and rank prices
Ranked for your volume
Kimi K2.5 monthly cost by provider
Change the monthly tokens and the ranking updates instantly, using each provider's standard list price.
More requirements: caching, context, features, provider
| Provider | Estimated / month | Input / 1M | Output / 1M | Cached input / 1M | Context |
|---|---|---|---|---|---|
1 DeepInfraInference provider - lowest for your volumePricing page | $9.00 | $0.45 | $2.25 | $0.07 | 262,144 |
2 SiliconFlowInference providerPricing page | $9.00 | $0.45 | $2.25 | $0.07 | 262,000 |
3 Fireworks AIInference providerPricing page | $12.00 | $0.60 | $3.00 | $0.10 | 262,144 |
4 Microsoft Azure AI FoundryCloud platformPricing page | $12.00 | $0.60 | $3.00 | $0.10 | 262,144 |
5 Moonshot AIModel developerPricing page | $12.00 | $0.60 | $3.00 | $0.10 | 262,144 |
6 Novita AIInference providerPricing page | $12.00 | $0.60 | $3.00 | $0.10 | 262,144 |
7 W&B Inference (CoreWeave)Inference providerPricing page | $12.00 | $0.60 | $3.00 | $0.10 | 262,144 |
Order depends on listed price for your volume only. No provider pays for its position.
Input volume includes the cached share, not an additional token volume. This is a list-price estimate, not a quote: cache-write charges, cache eligibility/TTL, batch discounts, long-context surcharges, regional pricing and taxes are excluded. Check the provider's terms for your workload before switching.
Price history
The cheapest price has not changed since tracking started on Sep 28, 2026: $0.90 per 1M tokens at DeepInfra. All price changes
Switch to the cheapest provider
Already using the OpenAI SDK? Change the base URL, key and model name:
from openai import OpenAI
import os
client = OpenAI(
base_url="https://api.deepinfra.com/v1/openai",
api_key=os.environ["DEEPINFRA_API_KEY"],
)
response = client.chat.completions.create(
model="moonshotai/Kimi-K2.5",
messages=[{"role": "user", "content": "Hello"}],
)Compare Kimi K2.5 with another model
Or pick any model
Before you pick a provider
DeepInfra lists Kimi K2.5 25% below the developer's own API (Moonshot AI) on a blended basis. Check rate limits, data retention and model quantization before switching.
Context windows differ by provider, from 262K to 262K tokens. A cheaper host may not accept your longest prompts.
7 of 7 providers list a cached-input price. Repeated system prompts or documents can cost much less there than the standard input rate shown above.
Keep comparing
More Moonshot AI Kimi models
Kimi K3, Kimi K2.6, Kimi K2.7 Code, Kimi K2 Instruct, Kimi K2 Thinking, Kimi K3.1 Pro, Kimi K3.1 Pro Highspeed, kimi-k2-instruct-0905
All Moonshot AI Kimi API prices - All LLM API prices - Watch Kimi K2.5 prices (RSS) - Methodology