Activefastllm Proprietary

command-r7b-12-2024

by Cohere· Released December 2024· Cutoff August 2024

Command R7B is a compact, efficient language model optimized for fast inference and low cost. It is designed for high-throughput applications requiring quick responses, such as real-time chatbots and simple text generation tasks. As part of Cohere's Command family, it balances performance with affordability.

Official Site API Docs

Input cost

$0.15 per 1M tokens

Output cost

$0.60 per 1M tokens

Context window

128K tokens

Max output

4096 tokens

Modalities

text

Parameters

License

proprietary

Capabilities

Text GenerationStreamingFunction CallingJSON ModeLow-Latency Inference

Best For

High-throughput, cost-sensitive applications requiring fast text generation.

Strengths

Extremely fast inference speed
Very low cost per token
128K context window
Supports function calling and JSON mode

Limitations

Smaller model size may limit complex reasoning
Not suitable for tasks requiring deep domain expertise
Limited multilingual support compared to larger models
No vision or multimodal capabilities

Use Cases

Real-time customer support chatbots

Simple content generation (e.g., product descriptions)

Data extraction and classification

Lightweight code generation

Text summarization for high-volume documents

Interactive Q&A for knowledge bases

Automated email responses

Improvements Over Previous Model

7B parameter size vs 35B in Command R (smaller, faster)
Context window increased from 4K to 128K tokens
Pricing reduced significantly (input $0.15 vs $0.50 per 1M tokens)
Optimized for lower latency and higher throughput
Added JSON mode support
Improved function calling reliability

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