Accelerated cloud API reasoner proporcionando alto-velocidad cadena de pensamiento deductions un económico comercial precios.
Technical Specifications
- Provider
- Moonshot AI
- Category
- reasoning
- Release Date
- 2025-11
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- API Pay-as-you-go
- Reasoning Effort Control
- Configurable (Low / Med / High)
- 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)
- kimi-k2-thinking-turbo
- Supported SDK & API Protocol
- Moonshot AI REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2027+)
- 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 ($0.6/1M in) across full 262K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.06/1M 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 Moonshot AI Cloud API
- System Card & Safety Framework
- Moonshot AI Production Safety & Alignment Verified
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Kimi K2 Thinking Turbo Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~179 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 Kimi K2 Thinking Turbo:
Benchmark Scores & 6-Axis Capability Radar
- GPQA Diamond
- 68.5%
- MMLU-Pro
- 81.5%
- HumanEval
- 92%
- AIME
- 81%
- Chatbot Arena Elo
- 1365pts
Strengths
- Significantly más rápido tiempo-un-primer-token que autohospedado K2 pensamiento setups
- costo-effective razonamiento API precios un $0.60 por millones entrada tokens
- Dependable salidas estructuradas para multi-agente herramienta bucles
Limitations & Trade-offs
- propietario hosted API rather que de pesos abiertos
- pensamiento trace cannot be fully disabled en simple prompts
Editorial Assessment
un rápido, económico hosted razonamiento endpoint que balances pensamiento profundidad con velocidad.
Best for: producción razonamiento canalizaciones, automatizado code reviews, y bajo-latencia investigación bots
Compare Kimi K2 Thinking Turbo
Frequently Asked Questions about Kimi K2 Thinking Turbo
How much does the Kimi K2 Thinking Turbo API cost per 1M tokens?+
Kimi K2 Thinking Turbo by Moonshot AI is priced at $0.6 per 1M input tokens and $2.4 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.06 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the Kimi K2 Thinking Turbo 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 Kimi K2 Thinking Turbo's context window?+
Kimi K2 Thinking Turbo features a 262K tokens context window, which equals approximately 196,608 English words or ~524 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 16,384 tokens.
Can I run Kimi K2 Thinking Turbo locally on my own GPU (Open Weights)?+
No, Kimi K2 Thinking Turbo is a proprietary closed-weights model hosted by Moonshot AI. It cannot be downloaded for local GPU execution and must be accessed via Moonshot AI's official API or cloud platform.
Does Moonshot AI train on data sent to the Kimi K2 Thinking Turbo API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Moonshot AI Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Moonshot AI Cloud API & Enterprise Endpoints.
How does Kimi K2 Thinking Turbo perform on coding and reasoning benchmarks?+
Kimi K2 Thinking Turbo achieves a composite Intelligence Index of 84/100, scoring N/A% on SWE-bench Verified, 68.5% on GPQA Diamond, 81.5% on MMLU-Pro, and 1365 pts on Chatbot Arena Elo.
What is Kimi K2 Thinking Turbo best used for?+
Kimi K2 Thinking Turbo is best suited for: producción razonamiento canalizaciones, automatizado code reviews, y bajo-latencia investigación bots. Assessment: un rápido, económico hosted razonamiento endpoint que balances pensamiento profundidad con velocidad.
Moonshot AI Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to Moonshot AI's flagship reasoning tier:
Kimi K3
Kimi K2.7 Code
Kimi K2.6
Kimi K2.5
Kimi K2 Thinking
Kimi K2
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Kimi K2 Thinking Turbo:
La unidad básica de texto que procesa un modelo de lenguaje, que normalmente equivale a 3 o 4 caracteres o aproximadamente 0,75 palabras. Por ejemplo, una frase típica se divide en varios tokens.
Un conjunto estandarizado de pruebas para evaluar y comparar objetivamente las capacidades de distintos modelos de IA en tareas como programación (SWE-bench) o matemáticas avanzadas (AIME).
La cantidad máxima de tokens que un modelo puede considerar a la vez, incluyendo tanto la entrada que lee como la salida que genera. Una ventana de 1.000.000 de tokens puede procesar unas 750.000 palabras en una sola petición.
Un modelo de IA entrenado para invertir cómputo adicional en pensar y validar hipótesis lógicas antes de responder, diseñado para problemas complejos de ingeniería y matemáticas.
Una técnica de razonamiento paso a paso donde el modelo genera pensamientos intermedios antes de formular la respuesta final, mejorando radicalmente la resolución de problemas matemáticos y lógicos.
La capacidad de un modelo de detectar la necesidad de una función externa y emitir argumentos JSON estructurados para ejecutar API, búsquedas web o consultas a bases de datos.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.