Kimi K2
Retired May 2026Moonshot AI's 1T-parameter MoE model with 32B active, released July 2025 and pre-trained on 15.5T tokens, with enhanced agentic coding in the 0905 update.
- Params
- 1T, 32B active
- Context
- 262K tokens
- Released
- License
- Modified MIT
Hosted API price
Cheapest via Novita · per 1M tokens
- Input
- $0.57 /1M
- Output
- $2.30 /1M
- Hosted by
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2 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Kimi K2, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|
|
|
$0.57 | $2.30 | $10.30 | Visit website |
|
|
Open weights, no hosted price | Visit website | ||
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Kimi K2 needs about 554 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $9,850 a month.
That costs the same as roughly 11B tokens a month on Novita's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 554 GB |
|
$9,850 | 11B tokens /mo |
| 8-bit FP8 / INT8 | 1,003 GB |
|
$22,723 | 26B tokens /mo |
| 16-bit FP16 / BF16 | 2,004 GB |
|
$45,446 | 53B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
Similarly priced models
The models nearest Kimi K2 by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Kimi K2 |
|---|---|---|---|---|---|---|
|
|
$0.6667 | $0.50 | $1.50 | 16K | Sep 2021 | −22% |
|
|
$0.6667 | $0.50 | $1.50 | 256K | −22% | |
|
|
$0.7333 | $0.40 | $2.40 | 1M | −15% | |
|
|
$0.7667 | $0.60 | $1.60 | 200K | −11% | |
|
|
$0.80 | $0.80 | $0.80 | 131K | −7% | |
|
|
$0.8583 | $0.57 | $2.30 | 262K | ||
|
|
$0.8667 | $0.60 | $2.20 | 205K | +1% | |
|
|
$0.9167 | $0.50 | $3.00 | 1M | Jan 2025 | +7% |
|
|
$0.9167 | $0.50 | $3.00 | 1M | +7% | |
|
|
$0.95 | $0.70 | $2.20 | 1M | +11% | |
|
|
$0.99 | $0.66 | $2.64 | 1M | Sep 2025 | +15% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What Kimi K2 accepts and can do, as published by Moonshot AI.
- Text Accepts and generates natural-language text.
- Function calling Connect to external tools, APIs, and systems.
- Structured output Return responses in structured formats like JSON.
- Web search Search the web for up-to-date information.
Common questions
What is Kimi K2 good for?
Agent coding and tool-driven work, which Moonshot aimed the 0905 update at. Its Modified MIT weights allow commercial self-hosting, on a multi-GPU node.
When is Kimi K2 not a good fit?
New deployments: Moonshot retired it in May 2026 and Kimi K2.5 carries the line on. Text only, and running it yourself takes a multi-GPU node.
What is the cheapest way to run Kimi K2?
How does Kimi K2 compare with Kimi K2.5?
Moonshot built Kimi K2.5 by continuing pretraining on the Kimi K2 base with mixed image and text tokens, which adds vision input, instant and thinking modes, and a swarm mode that splits a task across many sub-agents. Same 262K-token context. Kimi K2 costs 43% more per 1M input tokens and 12% less per 1M output tokens than Kimi K2.5, at each model's cheapest listed provider. It came out 6 months earlier and takes no image and video input, which Kimi K2.5 does.
Can I self-host Kimi K2?
Yes. The weights are Modified MIT licensed. At 4-bit it needs about 554 GB of GPU memory, which starts at roughly $9,850 a month on the cheapest rental that fits.
More from Moonshot AI
-
Kimi K2 Thinking
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From $0.60 / $2.50 /1M in / out at the cheapest provider -
Kimi K2.5
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Kimi K2.6
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Kimi K2.7 Code
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Kimi K3
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1M context
From $2.00 / $12.00 /1M in / out at the cheapest provider