Command R7B Arabic vs Qwen3 VL Flash (Alibaba Cloud) vs Trinity Mini
Qwen3 VL Flash (Alibaba Cloud) comes out ahead, 72 to 65 and 65 on our weighted score, though Command R7B Arabic is 7% cheaper per token.
CohereCommand R7B Arabic
65/100- ECI—
- Price$0.037 / $0.15
- Context128K
- Our pick
Alibaba (Qwen)Qwen3 VL Flash (Alibaba Cloud)
72/100- ECI—
- Price$0.022 / $0.215
- Context262K
Arcee AITrinity Mini
65/100- ECI—
- Price$0.045 / $0.15
- Context131K
Qwen3 VL Flash (Alibaba Cloud) is our pick
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Command R7B Arabic (65) and Trinity Mini (65). It leads on inputs & features and context window. 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 · Qwen3 VL Flash (Alibaba Cloud) $0.07 · Trinity Mini $0.071 per 1M tokens (3:1 blend)
- Longest contextQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) 262,144 · Trinity Mini 131,072 · Command R7B Arabic 128,000 tokens
- Widest inputsQwen3 VL Flash (Alibaba Cloud)Command R7B Arabic: Text · Qwen3 VL Flash (Alibaba Cloud): Text, Images · Trinity Mini: Text
- Self-hostingCommand R7B Arabic and Trinity MiniPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | Command R7B Arabic | Qwen3 VL Flash (Alibaba Cloud) | Trinity Mini |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 35 | 50 | 35 |
| Context window | 20% | 24 | 37 | 25 |
| Overall | 100% | 65/100 | 72/100 | 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 | Command R7B ArabicCohere | Qwen3 VL Flash (Alibaba Cloud)Alibaba (Qwen) | Trinity MiniArcee AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.037 | $0.022 (best) | $0.045 |
| Output | $0.15 (best) | $0.215 | $0.15 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.066 (best) | $0.07 | $0.071 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 131,072 tokens |
| Max output | 4,000 tokens | 32,768 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Proprietary | OpenOpenMDW-1.1 |
| API model ID | command-r7b-arabic-02-2025 | — | — |
| API providers | 1 | 1 | 1 |
| Released | Feb 27, 2025 | Oct 15, 2025 | Dec 1, 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.
- Command R7B Arabic$0.675
- Qwen3 VL Flash (Alibaba Cloud)$0.65
- Trinity Mini$0.75
Which should you choose?
Which is better: Command R7B Arabic, Qwen3 VL Flash (Alibaba Cloud) or Trinity Mini?
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Command R7B Arabic (65) and Trinity Mini (65). It leads on inputs & features and context window. 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 R7B Arabic, Qwen3 VL Flash (Alibaba Cloud) or Trinity Mini?
Command R7B Arabic is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Qwen3 VL Flash (Alibaba Cloud) costs $0.022 input / $0.215 output per million tokens (median across 1 API provider); 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 $0.07 for Qwen3 VL Flash (Alibaba Cloud) (1.1× as much) and $0.071 for Trinity Mini (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command R7B Arabic has not been scored yet, Qwen3 VL Flash (Alibaba Cloud) has not been scored yet and Trinity Mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R7B Arabic, Qwen3 VL Flash (Alibaba Cloud) and Trinity Mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3 VL Flash (Alibaba Cloud) has the largest context window at 262,144 tokens, against 131,072 for Trinity Mini and 128,000 for Command R7B Arabic. Maximum output per response: Command R7B Arabic up to 4,000, Qwen3 VL Flash (Alibaba Cloud) up to 32,768, Trinity Mini up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Command R7B Arabic accepts text; Qwen3 VL Flash (Alibaba Cloud) accepts text and images; Trinity Mini accepts text. Qwen3 VL Flash (Alibaba Cloud) handles the widest range of inputs.
Are any of these open source?
Command R7B Arabic and Trinity Mini publishes its weights (OpenMDW-1.1) and can be self-hosted; Qwen3 VL Flash (Alibaba Cloud) is proprietary.
Which is newer?
Trinity Mini is the newest, released Dec 1, 2025. Qwen3 VL Flash (Alibaba Cloud) came out Oct 15, 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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