Cohere: Command R (03-2024)

Text input Text output Unavailable
Author's Description

Command-R is a 35B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents. Read the launch post [here](https://txt.cohere.com/command-r/). Use of this model is subject to Cohere's [Usage Policy](https://docs.cohere.com/docs/usage-policy) and [SaaS Agreement](https://cohere.com/saas-agreement).

Key Specifications
Cost
$$$
Context
128K
Parameters
35B
Released
Mar 01, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Structured Outputs Response Format Stop Seed Top P Max Tokens Frequency Penalty Temperature Presence Penalty
Features

This model supports the following features:

Tools Response Format Structured Outputs
Performance Summary

Cohere's Command-R (03-2024) model demonstrates strong performance in several key areas. It consistently ranks among the fastest models, placing in the 81st percentile across seven benchmarks, and offers competitive pricing, ranking in the 55th percentile. Notably, the model exhibits exceptional reliability with a 100% success rate across all benchmarks, indicating minimal technical failures and consistent provision of usable responses. In terms of specific benchmark performance, Command-R shows a strong aptitude for General Knowledge (92.5% accuracy) and Ethics (96.0% accuracy), suggesting robust understanding in these domains. Its ability to classify emails is also solid at 93.0% accuracy. However, the model struggles significantly with complex Reasoning (18.0% accuracy) and Instruction Following (33.0% accuracy), indicating areas for improvement in multi-step problem-solving and adherence to intricate directives. Its performance on Hallucinations (64.0% accuracy) suggests room for improvement in acknowledging uncertainty. While its Coding accuracy is moderate at 68.0%, its duration for this task is notably high, placing it in the 99th percentile for slowness.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.5
Completion $1.5

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Cohere
Cohere | cohere/command-r-03-2024 128K $0.5 / 1M tokens $1.5 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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