Bonus: Top up now and we'll double your first deposit — get x2 credits instantly.
Get Started
Sign Up
Sign Up

Kimi K2.7-Code

Up to 30%

Call Kimi K2.7-Code through LLM.API when you want Moonshot-family text generation with unified auth, provider choice, and production-friendly defaults.

Start Using API

What is Kimi K2.7-Code?

Kimi K2.7-Code is a Moonshot chat model exposed on LLM.API under id `kimi-k2.7-code`. kimi-k2.7-code provided by moonshot and novita. It is wired for API access through LLM.API with OpenAI-compatible patterns. Teams use it when they need reliable text generation with text, image, video inputs and text outputs over an OpenAI-compatible API.

Providers

LLM.API routes Kimi K2.7-Code to the providers below, with discounted effective rates versus list price.

List price by provider ($ / 1M tokens)

InputOutput
llmapi-os$0.74 in
$3.5 out
novita$0.95 in
$4 out
togetherai$0.95 in
$4 out
canopywave$0.95 in
$4 out
alibaba$0.95 in
$4 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
llmapi-os30% offin $740; out $3500 per 1M tokens262K tokensvision, tools, streaming, reasoning, JSON, structured
novita30% offin $950; out $4000 per 1M tokens262K tokensvision, tools, streaming, reasoning, JSON, structured
togetherai30% offin $950; out $4000 per 1M tokens262K tokensvision, tools, streaming, reasoning, JSON
canopywave30% offin $950; out $4000 per 1M tokens262K tokensvision, tools, streaming, reasoning, web search, JSON, structured
alibaba30% offin $950; out $3999.5 per 1M tokens262K tokensvision, tools, streaming, reasoning, web search, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test Kimi K2.7-Code right here — free to start.

Kimi K2.7-Code
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Kimi K2.7-Code through the OpenAI-compatible API — POST /v1/chat/completions.

python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAP_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="kimi-k2.7-code",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)
{
  "model": "kimi-k2.7-code",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Conversational UX

    Maintains coherent multi-turn assistant behavior for product chat surfaces. Grounded in the model's chat role rather than generic chat claims.

  • Tool-ready dialogue

    Works well in agent loops that call functions, browsers, or retrieval APIs.

  • Structured outputs

    Can produce JSON-friendly or schema-oriented responses when prompted carefully. Grounded in the model's chat role rather than generic chat claims.

  • Analytical writing

    Produces clear analyses, comparisons, and decision memos from messy source material. Reflects Moonshot positioning for this endpoint.

  • Code assistance

    Helps write, explain, refactor, and debug application code across common languages.

6 Most Valuable Use Cases

  • Policy Q&A bots with careful refusal behavior with Kimi K2.7-Code
  • Product analytics narration and anomaly explanations
  • Research synthesis across long documents and tickets with Kimi K2.7-Code
  • Sales and success email drafting with CRM context
  • Meeting-note cleanup and action-item generation with Kimi K2.7-Code
  • Internal knowledge assistants grounded with your retrieval layer

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Intelligent AI Routing

    Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.

    One endpoint, every model.

  • Cost-Aware Execution

    Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.

    More performance, less spend.

  • Resilient Fallback Flows

    Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.

    Never go dark on users.

  • Deep LLM Observability

    Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.

    See every token, everywhere.

  • Task-Level Orchestration

    Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.

    Think tasks, not models.

  • High-Throughput Batch APIs

    Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.

    Scale from 1 to millions.

Why run Kimi K2.7-Code on LLM.API?

  • Unified AI Routing

    Production: Reach Kimi K2.7-Code and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Practical: Compare provider price points and keep spend visible as you scale Kimi K2.7-Code.

  • Reliability Layer

    Practical: Retry and route across configured providers when a single upstream blips.

  • Observability

    Trace prompts, tokens, and errors for Kimi K2.7-Code alongside the rest of your stack.

  • Drop-in SDKs

    Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap Kimi K2.7-Code for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You need provider failover options exposed for this model id (Kimi K2.7-Code)
  • Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (Kimi K2.7-Code)
  • You need a general-purpose text model for assistants, agents, or content workflows (Kimi K2.7-Code)
  • You want OpenAI-compatible chat completions through a single LLM.API key (Kimi K2.7-Code)

Avoid if...

  • You need pure embedding, OCR, or media generation instead of chat
  • Your use case depends on unpublished proprietary benchmarks not listed here
  • You require on-prem only deployment with no cloud inference
  • You need guaranteed real-time hard latency SLAs without benchmarking the provider

BENCHMARKS

Kimi K2.7-Code benchmark scores

Intelligence index

This model26.
Tracked median18.

Scale: 0-100 index points

Output speed

This model50 t/s

Scale: 0-400 tokens per second

Reference price per 1M tokens

Input$0.95
Output$4.00

Bars compare input and output list prices for this model.

Artificial Analysis Intelligence Index26
Median index across all tracked models18
Output speed50 tokens/s
Reference input price$0.95 / 1M tokens
Reference output price$4.00 / 1M tokens

Independent scores published by Artificial Analysis (source). Reference prices are provider list prices, not LLM.API pricing.

COMMUNITY

What developers say about Kimi models

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Kimi K2.7-Code.

  • 30-day hands-on reviews describe Kimi K2 as a capable, affordable alternative for coding and agent work.
  • Community round-ups praise the generous free tier and long context, with speed under load the most common complaint.
  • Developers commonly use it as a second opinion model alongside a frontier assistant.

SOURCES

Frequently Asked Questions

  • Does Kimi K2.7-Code support streaming?

    Yes—at least one listed provider advertises streaming.

  • What are limitations of Kimi K2.7-Code?

    Like other API models, Kimi K2.7-Code can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • What is Kimi K2.7-Code?

    kimi-k2.7-code provided by moonshot and novita. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `kimi-k2.7-code`.

  • What modalities does Kimi K2.7-Code support?

    Kimi K2.7-Code accepts text, image, video and produces text according to its architecture metadata on LLM.API.

  • How do I call Kimi K2.7-Code via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "kimi-k2.7-code" and your LLM.API key. See the code snippet on this page.

  • Which providers serve Kimi K2.7-Code?

    LLM.API currently lists: alibaba, canopywave, llmapi-os, novita, togetherai. Availability can vary by region and account.

  • Where is the canonical page for Kimi K2.7-Code?

    https://llmapi.ai/models/moonshotai-kimi-k2-7-code/

  • Can I use tools or structured outputs with Kimi K2.7-Code?

    Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

  • How is Kimi K2.7-Code priced on LLM.API?

    Listed pricing metadata shows: In $0.74 / 1M tokens · Out $3.5 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • When should I choose Kimi K2.7-Code?

    Your prompts benefit from the model's family strengths (reasoning, speed, or cost) — especially when you specifically need Kimi K2.7-Code.

  • Is Kimi K2.7-Code a chat model?

    Yes—Kimi K2.7-Code is exposed as a chat/completions-style endpoint on LLM.API.

COMPARE

Competitive Models

Get one key to every model

Swap your API key. Keep your code.

Start for free Talk to sales