What are the differences?
Between the Claude Instant 1.2 and Command R LLM models, which follows best instructions?
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Claude Instant 1.2
Anthropic

Command R
Cohere For AI
Overview
|  Claude Instant 1.2 |  Command R | |
|---|---|---|
| Provider Organization responsible for this model. |  Anthropic |  Cohere For AI | 
| Input Context Window The total number of tokens that the input context window can accommodate. | 100K | 128K | 
| Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | 4K | 
| Release Date The initial release date of the model. | August 9, 2023 27 months ago | April 4, 2024 19 months ago | 
| Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/2 | 
Pricing
|  Claude Instant 1.2 |  Command R | |
|---|---|---|
| Input Costs associated with the data input to the model. | $0.80 | $0.50 | 
| Output Costs associated with the tokens produced by the model. | $2.40 | $1.50 | 
Benchmark
|  Claude Instant 1.2 |  Command R | |
|---|---|---|
| MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 73.4 | 68 | 
| MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
| HellaSwag A demanding benchmark for sentence completion tasks. | ||
| Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1110 | 1148 | 
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Open Source
Self Hostable
1-line Integration
Prompt Templates
Chat Replays
Analytics
Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking




