Cohere: Command R (08-2024)

Text input Text output
Author's Description

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and is competitive with the previous version of the larger Command R+ model. Read the launch post [here](https://docs.cohere.com/changelog/command-gets-refreshed). 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
Aug 29, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

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

This model supports the following features:

Tools Structured Outputs Response Format
Performance Summary

Cohere: Command R (08-2024) demonstrates a strong overall performance profile, particularly excelling in operational efficiency. It performs among the fastest models, ranking in the 73rd percentile for speed across six benchmarks. Furthermore, it offers competitive pricing, placing in the 76th percentile for cost-effectiveness. A standout feature is its exceptional reliability, achieving a perfect 100th percentile, indicating consistent and dependable response generation with minimal technical failures. In terms of specific capabilities, the model shows notable strengths in Email Classification and Ethics, achieving high accuracies of 96.0% and 97.0% respectively, suggesting strong performance in structured classification and ethical reasoning tasks. General Knowledge also shows a solid 93.0% accuracy. However, the model exhibits weaknesses in more complex cognitive areas. Its Reasoning accuracy is notably low at 32.0%, placing it in the 19th percentile, indicating challenges with multi-step analysis and abstract problem-solving. Coding performance is moderate at 77.0% accuracy, while Instruction Following is at 50.0%. While generally fast and cost-effective, the model's duration for Coding and Reasoning benchmarks was relatively high, suggesting these complex tasks might take longer to process.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.15
Completion $0.6

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Cohere
Cohere | cohere/command-r-08-2024 128K $0.15 / 1M tokens $0.6 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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