Command R vs Command R7B Arabic
Command R7B Arabic comes out ahead, 62 to 51 on our weighted score, and it is the cheaper option too.
CohereCommand R
51/100- ECI—
- Price$0.15 / $0.60
- Context128K
- Our pickCohere
Command R7B Arabic
62/100- ECI—
- Price$0.037 / $0.15
- Context128K
Add a model
Make it a three-way comparison.
Command R7B Arabic is our pick
Command R7B Arabic is the better all-round choice, scoring 62/100 against Command R (51). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceCommand R7B ArabicCommand R7B Arabic $0.066 · Command R $0.263 per 1M tokens (3:1 blend)
- Longest contextAbout the sameCommand R 128,000 · Command R7B Arabic 128,000 tokens
- Widest inputsSame inputsCommand R: Text · Command R7B Arabic: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Command R | Command R7B Arabic |
|---|---|---|---|
| Price | 50% | 77 | 100 |
| Inputs & features | 30% | 25 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 51/100 | 62/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Command RCohere | Command R7B ArabicCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.15 | $0.037 (best) |
| Output | $0.60 | $0.15 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.263 | $0.066 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Cohere API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 4,000 tokens | 4,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | command-r-08-2024 | command-r7b-arabic-02-2025 |
| API providers | 5 (best) | 1 |
| Released | Aug 30, 2024 | Feb 27, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Jun 1, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command R$2.70
- Command R7B Arabic$0.675
Which should you choose?
Which is better: Command R or Command R7B Arabic?
Command R7B Arabic is the better all-round choice, scoring 62/100 against Command R (51). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Command R or Command R7B Arabic?
Command R7B Arabic is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Command R costs $0.15 input / $0.60 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.066 per million tokens for Command R7B Arabic versus $0.263 for Command R (4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Command R has not been scored yet and Command R7B Arabic has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R and Command R7B Arabic yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Command R and Command R7B Arabic share the same 128,000-token context window. Maximum output per response: Command R up to 4,000, Command R7B Arabic up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Command R accepts text; Command R7B Arabic accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Command R7B Arabic is the newest, released Feb 27, 2025. Command R came out Aug 30, 2024. Knowledge cutoff: Command R Jun 1, 2024, Command R7B Arabic Jun 1, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
