Trinity Mini vs Command R7B Arabic
Too close to call on our weighted score (Trinity Mini 65, Command R7B Arabic 65). The right pick depends on what you value most.
Arcee AITrinity Mini
65/100- ECI—
- Price$0.045 / $0.15
- Context131K
CohereCommand R7B Arabic
65/100- ECI—
- Price$0.037 / $0.15
- Context128K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Trinity Mini 65/100, Command R7B Arabic 65/100), so choose by what matters most for your work: Command R7B Arabic on price and Trinity Mini for long inputs. 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 · Trinity Mini $0.071 per 1M tokens (3:1 blend)
- Longest contextTrinity MiniTrinity Mini 131,072 · Command R7B Arabic 128,000 tokens
- Widest inputsSame inputsTrinity Mini: Text · Command R7B Arabic: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Trinity Mini | Command R7B Arabic |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 25 | 24 |
| Overall | 100% | 65/100 | 65/100 |
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 | Trinity MiniArcee AI | Command R7B ArabicCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.045 | $0.037 (best) |
| Output | $0.15 | $0.15 |
| Cached input | — | — |
| Blended (3:1) | $0.071 | $0.066 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Cohere API |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 4,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | OpenOpenMDW-1.1 | Open |
| API model ID | — | command-r7b-arabic-02-2025 |
| API providers | 1 | 1 |
| Released | Dec 1, 2025 | Feb 27, 2025 |
| Knowledge cutoff | — | 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.
- Trinity Mini$0.75
- Command R7B Arabic$0.675
Which should you choose?
Which is better: Trinity Mini or Command R7B Arabic?
It is close. Our weighted score puts them within a point (Trinity Mini 65/100, Command R7B Arabic 65/100), so choose by what matters most for your work: Command R7B Arabic on price and Trinity Mini for long inputs. 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, Trinity Mini or Command R7B Arabic?
Command R7B Arabic is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Trinity Mini costs $0.045 input / $0.15 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.066 per million tokens for Command R7B Arabic versus $0.071 for Trinity Mini (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Trinity Mini 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 Trinity Mini 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?
Trinity Mini has the largest context window at 131,072 tokens, against 128,000 for Command R7B Arabic. Maximum output per response: Trinity Mini up to 131,072, Command R7B Arabic up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Trinity Mini 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 (OpenMDW-1.1), so you can self-host them.
Which is newer?
Trinity Mini is the newest, released Dec 1, 2025. Command R7B Arabic came out Feb 27, 2025. Knowledge cutoff: 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 Nov 2, 2026.
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