de OpenAI líder pensamiento modelo trained con grande-escala reinforcement learning un deliberate un través de complejo science, matemáticas, y ingeniería de software questions.
Technical Specifications
- Provider
- OpenAI
- Category
- reasoning
- Release Date
- 2024-12
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- $20 / month
- 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)
- o1
- Supported SDK & API Protocol
- OpenAI Responses API & Chat Completions v1
- Lifecycle & Deprecation Status
- Legacy Stable (Upgrade path available in OpenAI lineup)
- Production Rate Limits (RPM & TPM)
- 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($15/1M in) across full 200K window
- Prompt Cache Write & TTL Policy
- Automatic prefix caching at $7.5/1M (no extra cache-write fee)
- Computer Use & Browser GUI Agent
- Supported (Screen coordinate grounding, browser & desktop GUI action loops)
- MCP & Parallel Tool Calling
- Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
- Web Search Grounding & Code Sandbox
- Native Web Search tool + Hosted Code Interpreter & File Search RAG
- Fine-Tuning & Distillation Support
- Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
- 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 OpenAI Cloud API
- System Card & Safety Framework
- OpenAI Preparedness Framework Audited & System Card Published
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
OpenAI o1 Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~6 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 OpenAI o1:
Benchmark Scores & 6-Axis Capability Radar
- SWE-bench Verified
- 48.9%
- GPQA Diamond
- 77.3%
- MMLU-Pro
- 89.6%
- HumanEval
- 92.4%
- Humanity's Last Exam
- 10.8%
- Terminal-Bench
- 43.5%
- SciCode
- 44.2%
- LiveCodeBench
- 72.1%
- AIME
- 83.3%
- Long-Context Reasoning
- 75%
- Chatbot Arena Elo
- 1355pts
Strengths
- Phenomenal GPQA Diamond (77.3%) y AIME matemáticas rendimiento
- extendido internal cadena de pensamiento auto-corrects subtle logical errors before responding
- 200K ventana de contexto con up un 100K salida tokens
Limitations & Trade-offs
- Significant latencia before initial token salida due un razonamiento deliberation
- mayor precios nivel ($15/$60 por 1M tokens) suitable para profundo razonamiento sobre casual chat
Editorial Assessment
un paradigm-shifting modelo de razonamiento que replaces quick pattern igualando con deliberate multipaso problem solving.
Best for: Doctorate-level científico investigación, competitivo algorithmic codificación, y alto-stakes matemático proofs
Compare OpenAI o1
Frequently Asked Questions about OpenAI o1
How much does the OpenAI o1 API cost per 1M tokens?+
OpenAI o1 by OpenAI is priced at $15 per 1M input tokens and $60 per 1M output tokens. With prompt caching enabled, cached input tokens cost $7.5 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the OpenAI o1 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 OpenAI o1's context window?+
OpenAI o1 features a 200K tokens context window, which equals approximately 150,000 English words or ~400 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 100,000 tokens.
Can I run OpenAI o1 locally on my own GPU (Open Weights)?+
No, OpenAI o1 is a proprietary closed-weights model hosted by OpenAI. It cannot be downloaded for local GPU execution and must be accessed via OpenAI's official API or cloud platform.
Does OpenAI train on data sent to the OpenAI o1 API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (OpenAI Terms). Full commercial ownership of generated outputs. Supported deployment channels include: OpenAI Platform API, Microsoft Azure OpenAI Foundry.
How does OpenAI o1 perform on coding and reasoning benchmarks?+
OpenAI o1 achieves a composite Intelligence Index of 55/100, scoring 48.9% on SWE-bench Verified, 77.3% on GPQA Diamond, 89.6% on MMLU-Pro, and 1355 pts on Chatbot Arena Elo.
What is OpenAI o1 best used for?+
OpenAI o1 is best suited for: Doctorate-level científico investigación, competitivo algorithmic codificación, y alto-stakes matemático proofs. Assessment: un paradigm-shifting modelo de razonamiento que replaces quick pattern igualando con deliberate multipaso problem solving.
OpenAI Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to OpenAI's flagship reasoning tier:
GPT-6 Astra
GPT-6.1 Sol
GPT-6 Sol
GPT-6 Luna
GPT-5.6 Sol
GPT-5.6 Terra
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to OpenAI o1:
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.