KAT-Coder-Air V2.5 dari Kwaipilot adalah model AI canggih dengan jendela konteks 256K token serta harga API $0.1/1M token input dan $0.4/1M token output untuk pemrograman, penalaran, dan otomasi bisnis.
Technical Specifications
- Provider
- Kwaipilot
- Category
- lightweight
- Release Date
- 2026-07
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Fixed
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- kat-coder-air-v2-5
- Supported SDK & API Protocol
- Kwaipilot REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2028+)
- Production Rate Limits (RPM & TPM)
- 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($0.1/1M in) across full 256K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.01/1M tokens
- Computer Use & Browser GUI Agent
- API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
- MCP & Parallel Tool Calling
- Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
- Web Search Grounding & Code Sandbox
- Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
- Fine-Tuning & Distillation Support
- API Prompt Engineering & RAG Distillation
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token)
- Weights Precision & Quantization
- Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
- Minimum GPU VRAM Requirement
- Zero Local VRAM Required (100% Serverless Cloud API)
- Supported Inference Engines
- Managed Kwaipilot Cloud API
- System Card & Safety Framework
- Kwaipilot Production Safety & Alignment Verified
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
KAT-Coder-Air V2.5 Cost, Context, Hardware & API Integration
Pay-as-you-go API is cheaper for this volume (saves $10.70/mo vs $20 flat plan).
Break-even point: ~1,075 requests/day equals $20/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to KAT-Coder-Air V2.5:
Benchmark Scores & 6-Axis Capability Radar
- MMLU-Pro
- 74%
- HumanEval
- 86%
- Chatbot Arena Elo
- 1285pts
Strengths
- Arsitektur Lightweight Code-Generation Transformer mutakhir dari Kwaipilot dengan dukungan konteks 256K token
- Efisiensi biaya API yang kompetitif ($0.1/1M input, $0.4/1M output) dan respons cepat
- Performa andal dalam pembuatan kode, analisis logika, serta pemahaman multibahasa
Limitations & Trade-offs
- Penggunaan konteks berukuran penuh memerlukan pengelolaan anggaran token yang cermat
- Membutuhkan perancangan prompt yang tepat untuk kasus penggunaan industri spesifik
Editorial Assessment
KAT-Coder-Air V2.5 merupakan solusi AI andal dari Kwaipilot yang menyeimbangkan kapabilitas, kecepatan, dan biaya.
Best for: Otomasi perusahaan, pengembangan perangkat lunak, agen AI, dan alur kerja produksi berbasis Kwaipilot
Compare KAT-Coder-Air V2.5
Frequently Asked Questions about KAT-Coder-Air V2.5
How much does the KAT-Coder-Air V2.5 API cost per 1M tokens?+
KAT-Coder-Air V2.5 by Kwaipilot is priced at $0.1 per 1M input tokens and $0.4 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.01 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the KAT-Coder-Air V2.5 pay-as-you-go API?+
A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.
How many words and pages fit in KAT-Coder-Air V2.5's context window?+
KAT-Coder-Air V2.5 features a 256K tokens context window, which equals approximately 192,000 English words or ~512 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 8,192 tokens.
Can I run KAT-Coder-Air V2.5 locally on my own GPU (Open Weights)?+
No, KAT-Coder-Air V2.5 is a proprietary closed-weights model hosted by Kwaipilot. It cannot be downloaded for local GPU execution and must be accessed via Kwaipilot's official API or cloud platform.
Does Kwaipilot train on data sent to the KAT-Coder-Air V2.5 API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Kwaipilot Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Kwaipilot Cloud API & Enterprise Endpoints.
How does KAT-Coder-Air V2.5 perform on coding and reasoning benchmarks?+
KAT-Coder-Air V2.5 achieves a composite Intelligence Index of 77/100, scoring N/A% on SWE-bench Verified, N/A% on GPQA Diamond, 74% on MMLU-Pro, and 1285 pts on Chatbot Arena Elo.
What is KAT-Coder-Air V2.5 best used for?+
KAT-Coder-Air V2.5 is best suited for: Otomasi perusahaan, pengembangan perangkat lunak, agen AI, dan alur kerja produksi berbasis Kwaipilot. Assessment: KAT-Coder-Air V2.5 merupakan solusi AI andal dari Kwaipilot yang menyeimbangkan kapabilitas, kecepatan, dan biaya.
Kwaipilot Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to Kwaipilot's flagship reasoning tier:
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to KAT-Coder-Air V2.5:
The basic unit of text that a language model processes, typically representing about 3 to 4 English characters or roughly 0.75 words. For example, the sentence "Artificial intelligence is fast" breaks down into about 5 tokens.
A standardized evaluation suite used to objectively measure and rank an AI model's capabilities across specific tasks — such as SWE-bench Verified for software engineering, AIME for competitive math, or MMLU for general knowledge.
The maximum number of tokens a model can consider at once — both the input it reads and the output it writes. A 1,000,000-token context window can hold roughly 750,000 English words in a single request.
An AI model trained via reinforcement learning to spend dynamic compute thinking through complex logic, math, and architectural problems before outputting a solution. Examples include OpenAI o1, o3, and DeepSeek R1.
A step-by-step reasoning technique where an AI model generates intermediate problem-solving thoughts before arriving at a final answer. Native reasoning models like OpenAI o3 and DeepSeek R1 use CoT to solve complex math and coding challenges.
The ability of a language model to recognize when an external capability is needed and output structured JSON arguments to invoke external APIs, databases, or terminal commands. The runtime executes the tool and passes results back to the model.
Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Sumber resmi: Kwaipilot API Documentation↗