AiCompareNet
Back to Developer Zone

Cohere Models

Explore all 2 models from Cohere with detailed pricing, pros & cons, and developer recommendations.

2
Models
$1.00
Lowest Input
256K
Max Context
2
Quality Tiers

Quick Recommendations

Best Value: Command A ($1.00/1M)
Best Quality: Command A

Command A

Flagship

Tool use, RAG, agents

Official Pricing

When to use: Best Cohere model for enterprise tool use, RAG, and multilingual agent workloads.

Upgrade Highlights

  • ◆111B params — Cohere's largest and most capable model
  • ◆256K context — 2x Command R+'s 128K for longer documents
  • ◆150% higher throughput than Command R+ — faster production serving
  • ◆23 languages supported — widest multilingual coverage at Cohere
  • ◆Fine-tuning + function calling — purpose-built for enterprise agents
Input Price
$1.00
per 1M tokens
Output Price
$2.00
per 1M tokens
Cached Input
—
per 1M tokens
Batch Input
—
per 1M tokens
Context Window: 256K
Max Output: 8,000 tokens
Knowledge Cutoff: 2025-03
VisionFunction CallingFine-tuningJSON ModeFree Tier

Pros

  • 111B params, 256K context
  • 150% higher throughput than Command R+
  • 23 languages supported

Cons

  • No vision support
  • Smaller context than competitors
  • Limited benchmarks available

Performance

Output Speed~60 tok/s
Rate Limit3,000 RPM

Multimodal

Image InputImage OutputAudio InputAudio Output

Benchmarks

MMLU
82.0%
HumanEval
79.0%

Command R+

Mid-tier

RAG, enterprise search

Official Pricing

When to use: Specialized for enterprise RAG and search — use when retrieval quality is the priority.

Upgrade Highlights

  • ◆Purpose-built for RAG pipelines — grounded generation with citations
  • ◆Enterprise search optimization — best-in-class retrieval accuracy
  • ◆Fine-tuning available — customize for domain-specific knowledge bases
  • ◆4K max output is limiting — upgrade to Command A for 8K output
  • ◆Expensive at $2.50/$10 — Command A offers more at $1/$2
Input Price
$2.50
per 1M tokens
Output Price
$10.00
per 1M tokens
Cached Input
—
per 1M tokens
Batch Input
—
per 1M tokens
Context Window: 128K
Max Output: 4,000 tokens
Knowledge Cutoff: 2024-08
VisionFunction CallingFine-tuningJSON ModeFree Tier

Pros

  • Purpose-built for RAG pipelines
  • Enterprise search optimization
  • Fine-tuning available

Cons

  • Only 4K max output
  • No vision
  • Expensive for mid-tier

Performance

Output Speed~50 tok/s
Rate Limit2,000 RPM

Multimodal

Image InputImage OutputAudio InputAudio Output

Benchmarks

MMLU
78.0%
HumanEval
73.0%

Side-by-Side Comparison

ModelTierInputOutputContext
Command AFlagship$1.00$2.00256K
Command R+Mid-tier$2.50$10.00128K