Kimi K2.5

Open weights

Kimi K2.5 is a language model from Togethercomputer with a 256K-token context window. Provider list price is $0.50 per million input tokens and $2.80 per million output; on Allocate you pay $0.54 and $3.00. The weights are open, so you can fine-tune it and own the result.

Route Kimi K2.5 Book a call

Pricing

Provider listOn Allocate

Input, per M tokens$0.50$0.54

Output, per M tokens$2.80$3.00

Prices checked 2026-07-21.

Price against its peers

Kimi K2.5 Fp4$0.50$2.80

Qwen3.6 Plus$0.50$3

Grok Build 0.1$1$2

Grok 4.3$1.25$2.50

Grok 4.20 Reasoning$1.25$2.50

Grok 4.20 Non-reasoning$1.25$2.50

Grok 4.20 Multi-agent$1.25$2.50

DeepSeek R1 Distill Qwen 14B$1.60$1.60

InputOutput

Provider list prices per M tokens, Kimi K2.5 against its nearest language peers by price.

What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.50 + 350 × $2.80 = $1,580 a month. Billed on Allocate it is $1,691.

Where it fits

Moonshot’s open-weight model with 256K tokens of context at $0.50 per million input. The open choice for long-document tasks: a policy book, a case history, or a codebase section in one prompt, with weights you can fine-tune.

Whole-document reasoning
Long-context retrieval
Open-weight fine-tuning

Kimi K2.5 is an open-weights model; the catalog does not list its license, so check the lab’s model card before commercial fine-tuning.

Example usage

Point a route at moonshotai/kimi-k2.5-fp4 and the endpoint never changes; swap the model behind it whenever you want.

api.allocate.network

curl https://api.allocate.network/v1/chat/completions \
  -H "Authorization: Bearer $ALLOCATE_KEY" \
  -d '{
    "model": "moonshotai/kimi-k2.5-fp4",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'

200 · moonshotai/kimi-k2.5-fp4 · inside your boundary

Common questions

How much does Kimi K2.5 cost per million tokens?

Provider list price is $0.50 per million input tokens and $2.80 per million output tokens. On Allocate you pay $0.54 in and $3.00 out.

What context window does Kimi K2.5 have?

262,144 tokens (256K). At roughly 0.75 words per token, that is about 197k words of English text per request.

Can I fine-tune Kimi K2.5?

Yes. Kimi K2.5 is an open-weights model; check the lab’s model card for the exact license terms. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call Kimi K2.5 on Allocate?

Send moonshotai/kimi-k2.5-fp4 in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.