de frontera científico modelo de razonamiento diseñado para bioquímico investigación, formal matemático lógica, y multipaso theorem proving.
Technical Specifications
- Provider
- AionLabs
- Category
- flagship
- Release Date
- 2026-07
- 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)
- aion-3-0
- Supported SDK & API Protocol
- AionLabs 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 ($0.5/1M in) across full 131K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.05/1M 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 AionLabs Cloud API
- System Card & Safety Framework
- AionLabs Production Safety & Alignment Verified
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Aion-3.0 Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~215 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 Aion-3.0:
Benchmark Scores & 6-Axis Capability Radar
- GPQA Diamond
- 63.5%
- MMLU-Pro
- 80%
- HumanEval
- 90%
- Chatbot Arena Elo
- 1335pts
Strengths
- sólido proficiency en científico literatura científica, biomédico terminology, y formal lógica
- Robust multipaso deductive razonamiento capacidades
- Clean estructurado JSON outputs para laboratorio canalización integración
Limitations & Trade-offs
- Relatively compacto 131K ventana de contexto en comparación con millones-token peers
- mayor latencia en heavy razonamiento requests
Editorial Assessment
un potente razonamiento motor diseñado específicamente para científico inquiry y investigación labs.
Best for: Biotech investigación, chemical síntesis flujos de trabajo, y formal logical análisis
Compare Aion-3.0
Frequently Asked Questions about Aion-3.0
How much does the Aion-3.0 API cost per 1M tokens?+
Aion-3.0 by AionLabs is priced at $0.5 per 1M input tokens and $2 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.05 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the Aion-3.0 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 Aion-3.0's context window?+
Aion-3.0 features a 131K tokens context window, which equals approximately 98,304 English words or ~262 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 16,384 tokens.
Can I run Aion-3.0 locally on my own GPU (Open Weights)?+
No, Aion-3.0 is a proprietary closed-weights model hosted by AionLabs. It cannot be downloaded for local GPU execution and must be accessed via AionLabs's official API or cloud platform.
Does AionLabs train on data sent to the Aion-3.0 API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (AionLabs Terms). Full commercial ownership of generated outputs. Supported deployment channels include: AionLabs Cloud API & Enterprise Endpoints.
How does Aion-3.0 perform on coding and reasoning benchmarks?+
Aion-3.0 achieves a composite Intelligence Index of 83/100, scoring N/A% on SWE-bench Verified, 63.5% on GPQA Diamond, 80% on MMLU-Pro, and 1335 pts on Chatbot Arena Elo.
What is Aion-3.0 best used for?+
Aion-3.0 is best suited for: Biotech investigación, chemical síntesis flujos de trabajo, y formal logical análisis. Assessment: un potente razonamiento motor diseñado específicamente para científico inquiry y investigación labs.
AionLabs Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to AionLabs's flagship reasoning tier:
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Aion-3.0:
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.
Fuentes: AionLabs Technical Whitepaper↗