Very long inputs
Choose Command R7B
Command R7B reads up to 128k tokens per request, against 16k for babbage-002.
babbage-002 vs Command R7B: price, context and capabilities
Choose Command R7B for very long inputs and the latest release; on the other points the two are level or the data is missing.
In short
- A price comparison is not possible: one of them has no comparable published price.
- Command R7B reads more per request: 128k tokens against 16k.
- Command R7B is the newer model (December 2024, against August 2023).
- Only babbage-002 offers structured output, batch api.
- Only Command R7B offers tool calling.
Which should you choose?
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Latest release
Choose Command R7B
Command R7B is the newer release (December 2024, against August 2023 for babbage-002).
Specifications side by side
| babbage-002 | Command R7B | |
|---|---|---|
| Provider | OpenAI | Cohere |
| Category | Language models | Language models |
| Status | Deprecated | Generally available |
| Headline price | No data | No data |
| Input | No data | No data |
| Output | No data | No data |
| Cached input | No data | No data |
| Context window | 16k | 128k |
| Max output | No data | No data |
| Released | August 2023 | December 2024 |
| Knowledge cutoff | September 2021 | No data |
| Licence | Proprietary | Proprietary |
| Capabilities | Structured output, Batch API | Tool calling |
| API model id | babbage-002 | command-r7b-12-2024 |
Frequently asked questions
Should I choose babbage-002 or Command R7B?
Choose Command R7B for very long inputs and the latest release; on the other points the two are level or the data is missing.
Which is cheaper, babbage-002 or Command R7B?
A price comparison is not possible: one of them has no comparable published price.
Which has the larger context window, babbage-002 or Command R7B?
Command R7B reads more per request: 128k tokens against 16k.
What is the difference between babbage-002 and Command R7B?
babbage-002 is made by OpenAI and Command R7B by Cohere. A price comparison is not possible: one of them has no comparable published price. Command R7B reads more per request: 128k tokens against 16k. Command R7B is the newer model (December 2024, against August 2023). Only babbage-002 offers structured output, batch api. Only Command R7B offers tool calling.
Which is newer, babbage-002 or Command R7B?
Command R7B was released on December 2024 and babbage-002 on August 2023.