Kimi K2.5
Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$0.2527/M. Automatic caching with hit/miss pricing: cached input tokens bill at the discounted cache-hit rate, no cache management required.
Use Kimi K2.5 in 30 seconds
OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions
from openai import OpenAI
client = OpenAI(
base_url="https://synthorai.io/v1",
api_key="sk-syn-...",
)
resp = client.chat.completions.create(
model="kimi-k2.5",
messages=[{"role": "user", "content": "Summarize this diff"}],
reasoning_effort="medium",
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://synthorai.io/v1",
apiKey: "sk-syn-...",
});
const resp = await client.chat.completions.create({
model: "kimi-k2.5",
messages: [{ role: "user", content: "Summarize this diff" }],
reasoning_effort: "medium",
});
console.log(resp.choices[0].message.content);curl https://synthorai.io/v1/chat/completions \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.5",
"messages": [{"role": "user", "content": "Hello"}],
"reasoning_effort": "medium"
}'package main
import (
"context"
"fmt"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://synthorai.io/v1"),
option.WithAPIKey("sk-syn-..."),
)
resp, _ := client.Chat.Completions.New(context.TODO(), openai.ChatCompletionNewParams{
Model: "kimi-k2.5",
Messages: []openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Summarize this diff"),
},
ReasoningEffort: openai.ReasoningEffortMedium,
})
fmt.Println(resp.Choices[0].Message.Content)
}import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.*;
import com.openai.models.ReasoningEffort;
OpenAIClient client = OpenAIOkHttpClient.builder()
.baseUrl("https://synthorai.io/v1")
.apiKey("sk-syn-...")
.build();
ChatCompletion resp = client.chat().completions().create(
ChatCompletionCreateParams.builder()
.model("kimi-k2.5")
.addUserMessage("Summarize this diff")
.reasoningEffort(ReasoningEffort.MEDIUM)
.build());
System.out.println(resp.choices().get(0).message().content().orElse(""));About Kimi K2.5
Kimi K2.5 is Moonshot AI's open-source, native multimodal agentic model, built by continual pretraining on roughly 15T mixed visual and text tokens atop Kimi-K2-Base.
- Its Mixture-of-Experts design totals 1T parameters with 32B activated, adds the MoonViT vision encoder, and supports a 256K context.
- Versus Kimi K2, it introduces vision-language understanding, code generation from visual specifications, and Agent Swarm, moving from single-agent execution to coordinated swarm-like operation, with both thinking and instant modes.
- Weights ship under a Modified MIT license.
- Synthorai makes Kimi K2.5 callable through its OpenAI-compatible API surface.
Specs & limits
| Modalities | text + image + video → text |
| Parameters | 1T total · 32B active (MoE) |
| Features | tools · structured_output · streaming · vision · reasoning |
| License | Modified-MIT ↗ |
| Notable | 1T/32B active MoE, 256K context, native multimodal (MoonViT encoder, image + video input), instant + thinking modes, Agent Swarm up to 100 sub-agents; native INT4 quantization. |
| Prompt caching | automatic |
FAQ
Is the Kimi K2.5 API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.574/M input tokens, that credit alone covers roughly 217 requests of ~8K tokens against Kimi K2.5.
What is Kimi K2.5 best at?
Vision-language understanding and code from visual specs, plus agent swarm for coordinated multi-agent operation and 1T-parameter MoE under modified MIT license. See the About section for the full picture from the vendor's own release notes.
How much does Kimi K2.5 cost?
Kimi K2.5 costs $0.574 per million input tokens and $3.011 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.115/M.
Does Kimi K2.5 support prompt caching?
Yes, automatically: Moonshot-served prompts cache with no code changes. Cached input tokens bill at $0.115/M vs $0.574/M uncached. Prompt caching guide →
How do I get access to Kimi K2.5?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="kimi-k2.5", and you're done. One API key covers every model on the gateway.
Is Kimi K2.5 open source?
Yes: the weights are published under the Modified-MIT license (official repository linked in the About section). Or skip the GPUs: the hosted version here is pay-as-you-go with no infrastructure to run. Running open-weight models →