API Need25% off
Uptime
Total Context
262.144K
Max Output
262.144K
Input
$0.5393/ 1M
Output
$2.6175/ 1M
Cache Read
$0.1118/ 1M
Cache Write
Route priced
MMoonshotAI: Kimi K2.7 Code API
kimi-k2.7-code
Kimi K2.7 Code API is a coding-focused MoonshotAI model that accepts text and images across a 262K context. Parallel tools and structured output support repository and interface workflows. [1]
The model is absent from the current LLM2014 logic table, so APINEED does not claim a borrowed ranking. Its value should be tested on code editing, visual debugging, and tool reliability. [1][2]
MODALITIES
Price$0.5393 / $2.6175 / 1MCONTEXT262.144K
Playground
Test Kimi K2.7 Code API with representative production prompts before using kimi-k2.7-code in a live workflow.
Providers
OpenRouter lists Kimi K2.7 Code API with text and image input, text output, and a 262.144K context window. APINEED routing and prepaid rates are identified separately. [1]
Discount
APINEED reduces official rates of $0.719 input, $3.49 output, and $0.149 cache read by 25% to $0.53925, $2.6175, and $0.11175. The table compares official Kimi K2.7 Code API pricing with the APINEED prepaid rate.
Official
Provider baselineInput $0.719/ 1MOutput $3.49/ 1M
BaselineAPINEED25% off
Prepaid creditsInput $0.5393/ 1MOutput $2.6175/ 1M
Availability
APINEED continuously monitors Kimi K2.7 Code API access and keeps requests on healthy capacity.
System statusLast 90 days
Kimi K2.7 Code API Benchmarks
Kimi K2.7 Code has no current LLM2014 row. The page keeps the complete benchmark for comparison without applying the Kimi K3 result. The complete LLM2014 logic 2026-07 table remains below, with Kimi K2.7 Code API highlighted when a current row exists. [2]
| 1st | GPT-5.5 (xhigh) | 83.80 | 77.46 | 7.57% | 494s | 30,811 | $25.51 | $29.57 |
| 2nd | Kimi-K3 (max) | 82.91 | 74.80 | 9.78% | 1095s | 39,912 | $16.76 | $15.00 |
| 3rd | Claude Opus 4.8 (xhigh) | 82.62 | 66.70 | 19.27% | 791s | 41,833 | $28.86 | $24.64 |
| 4th | GPT-5.6 Sol (xhigh) | 81.94 | 72.99 | 10.92% | 369s | 17,433 | $14.43 | $29.57 |
| 5th | Claude Opus 5 (xhigh) | 78.38 | 71.88 | 8.29% | 426s | 26,392 | $18.21 | $24.64 |
| 6th | Qwen3.7-Max (xhigh) | 74.56 | 66.95 | 10.21% | 374s | 54,207 | $7.81 | $5.14 |
| 7th | GLM-5.2 (max) | 73.68 | 58.27 | 20.91% | 890s | 45,683 | $5.12 | $4.00 |
| 8th | Gemini 3.1 Pro (high) | 73.36 | 58.46 | 20.31% | 214s | 25,905 | $8.58 | $11.83 |
| 9th | GPT-5.6 Luna (xhigh) | 69.49 | 51.97 | 25.21% | 242s | 38,083 | $6.31 | $5.91 |
| 10th | DeepSeek V4 Pro (max) | 68.00 | 49.97 | 26.51% | 1468s | 60,558 | $1.45 | $0.86 |
| 11th | Grok 4.5 (high) | 67.59 | 56.72 | 16.08% | 451s | 43,372 | $7.18 | $5.91 |
| 12th | Muse Spark 1.1 | 66.18 | 57.23 | 13.52% | 542s | 42,416 | $4.98 | $4.19 |
| 13th | Gemini 3.5 Flash (high) | 65.92 | 60.39 | 8.39% | 188s | 36,372 | $9.03 | $8.87 |
| 14th | Doubao-Seed-2.1-pro (high) | 58.69 | 49.35 | 15.91% | 2003s | 85,059 | $10.21 | $4.29 |
| 15th | Qwen3.7-Plus (high) | 58.50 | 44.09 | 24.63% | 1237s | 57,152 | $1.83 | $1.14 |
| 16th | Gemini 3.6 Flash (high) | 56.87 | 41.74 | 26.6% | 206s | 26,329 | $5.45 | $7.39 |
| 17th | Tencent Hy3 (high) | 54.42 | 44.60 | 18.04% | 1035s | 52,037 | $0.83 | $0.57 |
| 18th | Claude Sonnet 5 (xhigh) | 51.37 | 43.14 | 16.02% | 529s | 44,118 | $12.18 | $9.86 |
| 19th | DeepSeek V4 Flash (max) | 50.62 | 36.24 | 28.41% | 611s | 49,593 | $0.40 | $0.29 |
| 20th | MiniMax-M3 | 49.18 | 40.94 | 16.75% | 985s | 56,467 | $1.90 | $1.20 |
| 21st | Claude Opus 5 | 42.08 | 31.73 | 24.6% | 154s | 10,180 | $7.02 | $24.64 |
| 22nd | Claude Opus 4.6 | 36.88 | 25.79 | 30.07% | 65s | 4,387 | $3.03 | $24.64 |
| 23rd | Doubao-Seed-2.0-lite 0428 (high) | 35.32 | 26.77 | 24.21% | 656s | 26,726 | $0.38 | $0.51 |
| 24th | Gemini 3.5 Flash (minimal) | 33.24 | 22.22 | 33.15% | 44s | 6,189 | $1.54 | $8.87 |
| 25th | Ling-3.0-flash | 32.53 | 20.62 | 36.61% | 688s | 86,204 | $0.00 | $0.00 |
| 26th | Gemini 3.5 Flash Lite (high) | 30.23 | 22.82 | 24.51% | 188s | 18,297 | $1.26 | $2.46 |
| 27th | GPT-5.5 Instant | 28.87 | 17.66 | 38.83% | 25s | 1,673 | $1.39 | $29.57 |
| 28th | Gemma 4 31B | 27.91 | 22.04 | 21.03% | 770s | 15,050 | $0.17 | $0.39 |
| 29th | MiMo-V2.5-Pro | 26.91 | 13.00 | 51.69% | 478s | 29,443 | $0.71 | $0.86 |
| 30th | Qwen3.7-Plus | 26.19 | 16.23 | 38.03% | 314s | 8,692 | $0.28 | $1.14 |
| 31st | Step-3.7-Flash | 26.18 | 13.74 | 47.52% | 258s | 44,912 | $1.46 | $1.16 |
| 32nd | Qwen3.5-27B | 24.96 | 17.98 | 27.96% | 451s | 26,391 | $0.51 | $0.69 |
| 33rd | Gemini 3.1 Flash Lite (high) | 23.78 | 14.30 | 39.87% | 82s | 28,351 | $1.17 | $1.48 |
| 34th | Claude Sonnet 5 | 23.64 | 10.86 | 54.06% | 109s | 5,962 | $1.65 | $9.86 |
| 35th | Qwen3.7-Max | 22.45 | 18.53 | 17.46% | 196s | 6,710 | $0.97 | $5.14 |
| 36th | ERNIE 5.1 | 20.49 | 15.49 | 24.4% | 457s | 24,093 | $1.73 | $2.57 |
| 37th | openPangu-2.0-Flash | 19.83 | 10.76 | 45.74% | 571s | 28,199 | $0.18 | $0.23 |
| 38th | LongCat-2.0 | 19.40 | 9.74 | 49.79% | 395s | 14,886 | $0.48 | $1.14 |
| 39th | DeepSeek V4 Flash | 19.39 | 13.37 | 31.05% | 63s | 5,286 | $0.04 | $0.29 |
| 40th | Mistral Medium 3.5 | 18.44 | 13.87 | 24.78% | 194s | 27,854 | $5.77 | $7.39 |
| 41st | Doubao-Seed-2.1-pro | 17.49 | 9.74 | 44.31% | 305s | 6,009 | $0.72 | $4.29 |
| 42nd | GLM-5.2 | 14.80 | 10.43 | 29.53% | 23s | 953 | $0.11 | $4.00 |
| 43rd | Ling-2.6-1T | 13.05 | 8.39 | 35.71% | 229s | 4,770 | $0.31 | $2.29 |
| 44th | iFLYTEK Spark X2 | 12.39 | 6.21 | 49.88% | 458s | 11,285 | $0.09 | $0.29 |
| 45th | Gemini 3.1 Flash Lite | 11.79 | 10.28 | 12.81% | 9s | 773 | $0.03 | $1.48 |
| 46th | Mistral Medium 3.5 | 10.83 | 7.13 | 34.16% | 17s | 2,546 | $0.53 | $7.39 |
| 47th | Ling-2.6-flash | 10.07 | 4.85 | 51.84% | 25s | 4,997 | $0.04 | $0.30 |
Quick Start
Connect Kimi K2.7 Code API without changing the OpenAI-style request shape. Use image input for screenshots or diagrams alongside source context, and enable parallel tools only when the workflow can safely reconcile concurrent actions.
Get your API key
Create an APINEED key for Kimi K2.7 Code API and keep it in an environment variable.
export API_NEED_API_KEY=sk-apineed-v1-...Make your first request
Use kimi-k2.7-code for Kimi K2.7 Code API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.
TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_NEED_API_KEY,
baseURL: "https://apineed.com/v1"
});
const result = await client.chat.completions.create({
model: "kimi-k2.7-code",
messages: [
{ role: "user", content: "Why is the sky blue?" }
]
});
console.log(result.choices[0].message.content);Enable streaming and fallbacks
Add stream: true when Kimi K2.7 Code API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.
curl https://apineed.com/v1/chat/completions \
-H "Authorization: Bearer $API_NEED_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.7-code",
"stream": true,
"messages": [{ "role": "user", "content": "Hello" }]
}'Kimi K2.7 Code API Endpoint
Kimi K2.7 Code API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.
POST
/v1/chat/completions- Authorization
- Bearer $API_NEED_API_KEY
- Content-Type
- application/json
- HTTP-Referer
- optional - your site URL, for rankings
- X-Title
- optional - your site name, for rankings
- Model
- kimi-k2.7-code
Parameters
Kimi K2.7 Code API parameters currently listed for kimi-k2.7-code by the OpenRouter Models API. [1]
| Name | Type | Status | Description |
|---|---|---|---|
frequency_penalty | number | Supported | Penalizes repeated token frequency. |
include_reasoning | boolean | Supported | Includes reasoning content in the response when available. |
logit_bias | object | Supported | Adjusts the likelihood of selected tokens. |
logprobs | boolean | Supported | Returns token log probabilities. |
max_tokens | integer | Supported | Limits generated output tokens. |
min_p | number | Supported | Applies minimum-probability sampling. |
parallel_tool_calls | boolean | Supported | Allows multiple tool calls in one model turn. |
presence_penalty | number | Supported | Penalizes tokens already present in the output. |
reasoning | object | Supported | Controls reasoning behavior and token allocation. |
repetition_penalty | number | Supported | Controls repetition across generated tokens. |
response_format | object | Supported | Requests a specific response format. |
seed | integer | Supported | Requests deterministic sampling when supported by the provider. |
stop | string or array | Supported | Stops generation at the supplied sequence. |
structured_outputs | boolean | Supported | Enables schema-constrained structured output. |
temperature | number | Supported | Controls sampling randomness. |
tool_choice | string or object | Supported | Controls which tool the model may call. |
tools | array | Supported | Defines tools available to the model. |
top_k | integer | Supported | Restricts sampling to the highest-probability tokens. |
top_logprobs | integer | Supported | Sets how many top-token log probabilities are returned. |
top_p | number | Supported | Controls nucleus sampling. |
Kimi K2.7 Code API Q&A
Model-specific answers for teams comparing Kimi K2.7 Code API on capability, benchmark evidence, integration, and cost.
Does Kimi K2.7 Code API have a current LLM2014 rank?
No. Kimi K2.7 Code does not appear in the July 2026 logic dataset.
Can Kimi K2.7 Code API inspect screenshots?
Yes. Its listed modalities include text and image input with text output.
What is the Kimi K2.7 Code APINEED output price?
See the live pricing table above for the current API Need input and output prices for kimi-k2.7-code.
When should Kimi K2.7 Code use parallel tools?
For Kimi K2.7 Code API, use parallel calls only for independent operations and add validation before applying concurrent changes.
Which endpoint serves Kimi K2.7 Code API?
Call Kimi K2.7 Code API through https://apineed.com/v1/chat/completions with kimi-k2.7-code as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.
How do I validate Kimi K2.7 Code API before release?
Evaluate Kimi K2.7 Code API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.
How to Deploy the Kimi K2.7 Code API on apineed.com
Deploy Kimi K2.7 Code API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.
Add credits for Kimi K2.7 Code API
Add credits on APINEED before deploying the Kimi K2.7 Code API. Pay-as-you-go billing lets usage start small and scale with production traffic.
Get your API key
Create an APINEED API key for the Kimi K2.7 Code API. The same key can call Kimi K2.7 Code and other AI APIs through apineed.com.
Set the model slug
Use kimi-k2.7-code as the model value when you deploy the Kimi K2.7 Code API. Keep the APINEED base URL at https://apineed.com/v1.
Send a request to Kimi K2.7 Code API
Send chat completions or responses to the Kimi K2.7 Code API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.