Kuaishouactive

KAT-Coder-Air V2.5

Released at: July 10, 2026

API StatusAvailable for integration
Context Window256,000 tokens✓ verified today
Input Price / MTok$0.15✓ verified today
Output Price / MTok$0.60✓ verified today

Model Overview

Kuaishou · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

KAT-Coder-Air V2.5 by Kuaishou — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

KAT-Coder-Air V2.5 is an advanced artificial intelligence model engineered by Kuaishou. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, KAT-Coder-Air V2.5 represents a key architectural iteration in the Kuaishou model family. First released in 2026-07-10, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 256,000 tokens (approximately 341 words), KAT-Coder-Air V2.5 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for KAT-Coder-Air V2.5 based on verified provider metadata:

  • Model Name: KAT-Coder-Air V2.5
  • Developer / Provider: Kuaishou
  • Context Window Capacity: 256,000 tokens (~341 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

KAT-Coder-Air V2.5 undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for KAT-Coder-Air V2.5 follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "kat-coder-air-v2-5",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), KAT-Coder-Air V2.5 is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 256,000 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize KAT-Coder-Air V2.5 for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for KAT-Coder-Air V2.5:

  • Input Token Cost: $0.15 per MTok
  • Output Token Cost: $0.60 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**KAT-Coder-Air V2.5**Provider Ecosystem Baseline
DeveloperKuaishouIndustry Average
Context Window256,000 tokens128,000 tokens
Input Price / MTok$0.15Variable
Output Price / MTok$0.60Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is KAT-Coder-Air V2.5's context window limit?§

A: KAT-Coder-Air V2.5 supports an input context window of 256,000 tokens.

Q: What is the API pricing for KAT-Coder-Air V2.5?§

A: KAT-Coder-Air V2.5 is priced at $0.15 per million input tokens and $0.60 per million output tokens.

Q: Is KAT-Coder-Air V2.5 accessible via API?§

A: Yes, KAT-Coder-Air V2.5 is available for programmatic integration.

Developer
Kuaishou✓ verified today
Release Date
July 10, 2026✓ verified today
Context Window
256,000 tokens341 words✓ verified today
API Access
Publicly AvailableIntegrate via official API✓ verified today
Input Cost
$0.15per million tokens✓ verified today
Output Cost
$0.60per million tokens✓ verified today
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Vetted Benchmarks

GPQA(estimated)Score: 39.0% (Top 70%)
MMLU(estimated)Score: 81.6% (Top 44%)
HumanEval(estimated)Score: 88.4% (Top 26%)
MATH(estimated)Score: 53.6% (Top 74%)
MT-Bench(estimated)Score: 8.4 (Top 73%)
HellaSwag(estimated)Score: 81.2% (Top 69%)

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Originally published on llmdb.app

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