L LLM Cloud Hub
Side-by-side comparison

Command R+ (08-2024) vs Mistral Large

Cohere

Command R+ (08-2024)

πŸ”§ Tools {} JSON
Input / 1M
$2.5000
Output / 1M
$10.0000
View Command R+ (08-2024) β†’
Mistral

Mistral Large

πŸ”§ Tools {} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
View Mistral Large β†’
Command R+ (08-2024)Mistral Large
Provider Cohere Mistral
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 128,000 128,000
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). tools, json_mode tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 2.5000 2.0000
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 10.0000 6.0000

Frequently asked questions

Which is cheaper, Command R+ (08-2024) or Mistral Large?

Mistral Large is cheaper than Command R+ (08-2024) on a 50/50 input/output blend by about $2.25 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

What is the difference between Command R+ (08-2024) and Mistral Large?

Command R+ (08-2024) comes from Cohere; Mistral Large comes from Mistral. They differ in pricing, context window, and supported capabilities β€” see the side-by-side table on this page for the exact figures, refreshed nightly.

Keyboard shortcuts

?
Show this overlay
/
Focus the first form field
g h
Go to / (home)
g b
Go to /best-llm-for
g c
Go to /cost
g s
Go to /self-hosted
g x
Go to /compliance
Esc
Close any overlay

Inspired by Linear and GitHub conventions. The two-key sequences (g then h) work within ~1 second.