Where can I access Command-R+ (Apr '24)?

Artificial Analysis

This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

Cohere has launched a newer release, Command A. We suggest considering it instead.

Cohere

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Open weights model

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Released April 2024

Command-R+ (Apr '24) API Provider Benchmarking & Analysis

Model Comparison

This analysis is intended to support you in choosing the best API provider of Command-R+ (Apr '24) for your use-case.

Fastest

Output speed

Total 0 providers

Lowest Latency

Time to first token

Total 0 providers

Lowest Price

Blended price (per 1M tokens)

Total 0 providers

No API providers are currently available for Command-R+ (Apr).

Benchmarks of providers are not available for this model.

Please see the models page for Command-R+ (Apr '24) for details of the model and its intelligence compared to other models.

Speed

Output tokens per second · Higher is better

No data available

Latency

Seconds to first answer token received · Lower is better

No data available

Price

USD per 1M tokens (blended) · Lower is better

No data available

Pricing

Pricing: Cache Hit, Input, and Output: Command-R+ (Apr '24)

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

No data available

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Cost per Intelligence Index Task: Command-R+ (Apr '24)

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

No data available

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Output Speed vs. Price: Command-R+ (Apr '24)

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)

Most attractive quadrant

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Speed

Measured by Output Speed (tokens per second)

Output Speed: Command-R+ (Apr '24)

Output speed: output tokens per second · 10,000 input tokens

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API or the median across providers where a first-party API is not available.

Time per Intelligence Index Task: Command-R+ (Apr '24)

Weighted average decode time (minutes) per Intelligence Index task · Excludes TTFT and overhead time · Lower is better

No data available

The weighted average time (seconds) per Artificial Analysis Intelligence Index task. This is calculated by dividing output tokens per task by output speed, weighted by the relative weights of each benchmark in the Intelligence Index.

Cost per Task vs. Time per Task: Command-R+ (Apr '24)

Weighted average cost (USD) per Intelligence Index task · Weighted average decode time (minutes) per Intelligence Index task

Most attractive quadrant

No data available

Latency

Measured by Time (seconds) to First Token

Time to First Token: Command-R+ (Apr '24)

Seconds to first token received · Lower is better · 10,000 input tokens

No data available

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time: Command-R+ (Apr '24)

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens

No data available

Seconds to receive a 500 token response. Key components:

Input time: Time to receive the first response token
Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
Answer time: Time to generate 500 output tokens, based on output speed

Key Comparison Metrics & API Features



No results.

Frequently Asked Questions

Common questions about Command-R+ (Apr '24) providers

Command-R+ (Apr '24) is not currently available through any API providers we benchmark. As an open weights model, it can be self-hosted.

Command-R+ (Apr '24) API Provider Benchmarking & Analysis

Fastest

Lowest Latency

Lowest Price

Speed

Latency

Price

Pricing

Pricing: Cache Hit, Input, and Output: Command-R+ (Apr '24)

Cache Hit

Cost per Intelligence Index Task: Command-R+ (Apr '24)

Cost per Intelligence Index Task

Output Speed vs. Price: Command-R+ (Apr '24)

Output Speed

Speed

Output Speed: Command-R+ (Apr '24)

Output Speed

Model Performance Representation

Time per Intelligence Index Task: Command-R+ (Apr '24)

Time per Intelligence Index Task

Cost per Task vs. Time per Task: Command-R+ (Apr '24)

Cost per Intelligence Index Task

Latency

Time to First Token: Command-R+ (Apr '24)

Latency (Time to First Token)

Median

End-to-End Response Time

End-to-End Response Time: Command-R+ (Apr '24)

End-to-End Response Time

Key Comparison Metrics & API Features

Frequently Asked Questions

Where can I access Command-R+ (Apr '24)?