Cohere: Models Intelligence, Performance & Price
Analysis of Cohere's models across key metrics including quality, price, output speed, latency, context window & more. This analysis is intended to support you in choosing the best model provided by Cohere for your use-case. For more details including relating to our methodology, see our FAQs. Models analyzed: Command-R+, Command-R+ (Apr '24), Command-R (Mar '24), Aya Expanse 32B, Command-R, Command A, and Aya Expanse 8B.
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Cohere Model Comparison Summary
Intelligence: Command A and Command-R+ are the highest quality models offered by Cohere, followed by Aya Expanse 32B, Command-R+ (Apr '24) & Aya Expanse 8B.Output Speed (tokens/s): Command-R (Mar '24) (177 t/s) and Aya Expanse 8B (168 t/s) are the fastest models offered by Cohere, followed by Aya Expanse 32B, Command-R & Command-R+ (Apr '24).Latency (seconds): Aya Expanse 8B (0.12s) and Command-R (Mar '24) (0.15s) are the lowest latency models offered by Cohere, followed by Aya Expanse 32B, Command-R & Command-R+ (Apr '24).Blended Price ($/M tokens): Command-R ($0.26) and Command-R (Mar '24) ($0.75) are the cheapest models offered by Cohere, followed by Aya Expanse 32B, Aya Expanse 8B & Command-R+.Context Window Size: Command A (256k) and Command-R+ (128k) are the largest context window models offered by Cohere, followed by Command-R+ (Apr '24), Command-R (Mar '24) & Aya Expanse 32B.
Command A and Command-R+ are the highest quality models offered by Cohere, followed by Aya Expanse 32B, Command-R+ (Apr '24) & Aya Expanse 8B.Output Speed (tokens/s): Command-R (Mar '24) (177 t/s) and Aya Expanse 8B (168 t/s) are the fastest models offered by Cohere, followed by Aya Expanse 32B, Command-R & Command-R+ (Apr '24).Latency (seconds): Aya Expanse 8B (0.12s) and Command-R (Mar '24) (0.15s) are the lowest latency models offered by Cohere, followed by Aya Expanse 32B, Command-R & Command-R+ (Apr '24).Blended Price ($/M tokens): Command-R ($0.26) and Command-R (Mar '24) ($0.75) are the cheapest models offered by Cohere, followed by Aya Expanse 32B, Aya Expanse 8B & Command-R+.Context Window Size: Command A (256k) and Command-R+ (128k) are the largest context window models offered by Cohere, followed by Command-R+ (Apr '24), Command-R (Mar '24) & Aya Expanse 32B.Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
Parallel Queries:
Prompt Length:
Features | Model Intelligence | Price | Output tokens/s | Latency | End-to-End Response Time | ||||
|---|---|---|---|---|---|---|---|---|---|
Further Analysis | |||||||||
 | Command A | 256k | 40 | $4.38 | 55.0 | 0.26 | 9.34 | N/A | |
| Command-R+ | 128k | 21 | $4.38 | 52.0 | 0.28 | 9.90 | N/A | |
| Aya Expanse 32B | 128k | 20 | $0.75 | 120.4 | 0.16 | 4.31 | N/A | |
| Command-R+ (Apr '24) | 128k | 20 | $6.00 | 70.8 | 0.24 | 7.30 | N/A | |
| Aya Expanse 8B | 8k | 16 | $0.75 | 167.8 | 0.12 | 3.10 | N/A | |
| Command-R | 128k | 15 | $0.26 | 85.4 | 0.19 | 6.04 | N/A | |
| Command-R (Mar '24) | 128k | 15 | $0.75 | 176.6 | 0.15 | 2.98 | N/A | |
Key definitions
Context window: Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).
Output Speed: 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).
Latency (Time to First Token): 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.
Price: Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
Output Price: Price per token generated by the model (received from the API), represented as USD per million Tokens.
Input Price: Price per token included in the request/message sent to the API, represented as USD per million Tokens.
Time period: Metrics are 'live' and are based on the past 72 hours of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests.