CallMissed
सभी मॉडल पर वापस जाएं
LLM चैटvisionreasoningtools

Kimi K2.7 Code

द्वारा Moonshot · रिलीज़ 2026

Moonshot AI's frontier-scale open-source 1T-parameter model tuned for agentic coding. 262K context window, multi-turn tool calling, reasoning, vision inputs, and structured outputs for agentic workloads.

LLM चैट

Kimi K2.7 Code

द्वारा संचालित Moonshot · Mixture-of-Experts (1T params, agentic coding)

कॉन्टेक्स्ट विंडो

262K

पैरामीटर

1T (MoE)

अधिकतम आउटपुट

16K

श्रेणी

LLM चैट

अवलोकन

Kimi K2.7 Code is Moonshot AI's frontier-scale open-source model — a 1-trillion-parameter mixture-of-experts architecture purpose-built for agentic coding workloads. It pairs a 262,144-token context window with multi-turn tool calling, native reasoning, vision inputs, and structured outputs, making it well-suited for long-horizon software-engineering tasks that span large codebases and many tool invocations.

The model is designed for autonomous coding agents: it can plan a change across many files, call tools to read and edit code, run tests, and iterate — all while keeping the full project context in its very large window. Vision input lets it work from screenshots, diagrams, and design mockups, and structured output keeps tool-call payloads reliable.

Served through CallMissed on Cloudflare Workers AI, K2.7 Code is OpenAI-compatible (`/v1/chat/completions`) with streaming, full tool calling, and a `reasoning_effort` thinking toggle.

प्राइसिंग

मेट्रिककीमत
इनपुट /1M tokens₹128.0000
आउटपुट /1M tokens₹540.0000

1 क्रेडिट = ₹1 = $0.01 USD। कीमतें प्रोवाइडर से दिखाई गई हैं; CallMissed ~35% मार्कअप के साथ पास-थ्रू करता है।

मुख्य बातें

  • Frontier-scale 1T-parameter MoE tuned for agentic coding
  • 262K-token context for whole-codebase reasoning
  • Multi-turn tool calling + structured outputs
  • Vision inputs (screenshots, mockups, diagrams)

बेंचमार्क

बेंचमार्कस्कोर
SWE-benchSOTA-class
LiveCodeBenchTop-tier

तकनीकी विवरण

  • Frontier-scale 1T-parameter mixture-of-experts architecture
  • Context window: 262,144 tokens
  • Multi-turn function/tool calling
  • Native reasoning with reasoning_effort thinking toggle
  • Vision inputs supported
  • Structured outputs for agentic workflows
  • OpenAI-compatible; served via Cloudflare Workers AI on the CallMissed gateway

ताकतें

  • Massive 262K context keeps whole codebases in view
  • Built for multi-turn tool-using coding agents
  • Vision + reasoning + structured outputs in one model

सीमाएं

  • Frontier-scale model — higher latency than small fast tiers
  • Newer release with limited production track record

उपयोग के मामले

Agentic codingWhole-repo refactoringTool-using dev agentsVision-assisted UI coding

API उदाहरण

curl https://api.callmissed.com/v1/chat/completions \
  -H "Authorization: Bearer cm_YOUR_KEY" \
  -d '{"model": "kimi-k2.7-code", "messages": [{"role": "user", "content": "Refactor this module and add tests"}]}'

एंडपॉइंट: POST /v1/chat/completions · मॉडल ID: kimi-k2.7-code

Kimi K2.7 Code अभी आज़माएं

साइनअप पर 1000 फ्री API क्रेडिट पाएं। कोई क्रेडिट कार्ड ज़रूरी नहीं।

फ्री शुरू करें डॉक्स पढ़ें