de Cohere líder 2026 multimodal insignia motor uniting visual documento razonamiento, profundo cadena de pensamiento, y soberano empresarial implementación.
Technical Specifications
- Provider
- Cohere
- Category
- flagship
- Release Date
- 2026-05
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- Free / Self-Hosted
- 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)
- command-a-plus
- Supported SDK & API Protocol
- OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2028+)
- Production Rate Limits (RPM & TPM)
- Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($3/1M in) across full 128K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.75/1M 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
- Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
- Weights Precision & Quantization
- BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0)
- Minimum GPU VRAM Requirement
- 112 GB VRAM (4-bit Quantized) · 387 GB VRAM (Native BF16)
- Supported Inference Engines
- vLLM, SGLang, Ollama, llama.cpp, TensorRT-LLM, HuggingFace TGI
- System Card & Safety Framework
- Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Command A Plus Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~34 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 Command A Plus:
Benchmark Scores & 6-Axis Capability Radar
- SWE-bench Verified
- 60.5%
- GPQA Diamond
- 74%
- MMLU-Pro
- 86.8%
- HumanEval
- 94.5%
- Terminal-Bench
- 50%
- AIME
- 82.5%
- Long-Context Reasoning
- 88%
- Chatbot Arena Elo
- 1410pts
Strengths
- de Cohere la mayoría de potente modelo fundacional un date, blending visión, razonamiento, y agentes
- Flawless recuperación fundamentación con strict anti-hallucination citas verificación
- de pesos abiertos availability para soberano national y regulated empresarial implementaciones
Limitations & Trade-offs
- Premium API token precios ($3.00/$12.00)
- alto hardware requirements para local clúster alojamiento propio
Editorial Assessment
el absolute crown jewel de de Cohere empresarial AI portfolio en 2026.
Best for: empresarial inteligencia platforms, soberano government automatización, y de misión crítica agente flujos de trabajo
Compare Command A Plus
Frequently Asked Questions about Command A Plus
How much does the Command A Plus API cost per 1M tokens?+
Command A Plus by Cohere is priced at $3 per 1M input tokens and $12 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.75 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the Command A Plus 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 Command A Plus's context window?+
Command A Plus features a 128K tokens context window, which equals approximately 96,000 English words or ~256 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 32,768 tokens.
Can I run Command A Plus locally on my own GPU (Open Weights)?+
Yes, Command A Plus (Confidential (~180B+ MoE)) releases open weights that can be self-hosted locally or on private cloud GPUs using vLLM, Ollama, SGLang, or llama.cpp.
Does Cohere train on data sent to the Command A Plus API, and is commercial use allowed?+
100% Isolated when self-hosted on private GPUs or VPC. License tier: Open-Weights Research & Commercial License. Full commercial ownership of generated outputs. Supported deployment channels include: Self-Hosted GPU (vLLM / Ollama), Private VPC, or Managed Serverless API.
How does Command A Plus perform on coding and reasoning benchmarks?+
Command A Plus achieves a composite Intelligence Index of 58/100, scoring 60.5% on SWE-bench Verified, 74% on GPQA Diamond, 86.8% on MMLU-Pro, and 1410 pts on Chatbot Arena Elo.
What is Command A Plus best used for?+
Command A Plus is best suited for: empresarial inteligencia platforms, soberano government automatización, y de misión crítica agente flujos de trabajo. Assessment: el absolute crown jewel de de Cohere empresarial AI portfolio en 2026.
Cohere Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to Cohere's flagship reasoning tier:
North Mini Code
Command A Reasoning
Command A Translate
Command A Vision
Command A
Aya Vision 32B
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Command A Plus:
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.