LLM Reference

Command A+

Released
2026-05-20
Last refreshed
2026-05-22
Status
Researched 105d ago
ProprietaryCommercial use: conditionalMultimodalRAGAgentsLong contextVisionJSON / Tool useOpen Source

Command A+ is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Command
Released
2026-05-20
Context
128k
Max output
64,000
Parameters
218B total / 25B active
Architecture
Mixture of Experts
Knowledge cutoff
2025-04
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

Empowering developers with advanced language AI.

Toronto, Ontario, Canada
Founded 2022
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Cohere API

About

Command A+ is Cohere's open-weight sparse mixture-of-experts model for enterprise agentic, multimodal, multilingual, RAG, and reasoning-heavy workloads. It combines text and image inputs, tool use, structured outputs, 48-language support, and hardware-efficient deployment that can run on one B200 or two H100 GPUs.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

1 relevant benchmark in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured Outputs

Benchmark peer barsfor Agents

Benchmark scores(3)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
AIME 202590.0AIME 2025 (accuracy)Observed 2026-06-07Source
Massive Multi-discipline Multimodal Understanding75.1MMMU (accuracy)Observed 2026-06-07Source
τ-bench85.0τ²-Bench Telecom (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.

Compare Command A+ with other models