Qwen-VL OCR vs Command R7B
Command R7B comes out ahead, 65 to 55 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen-VL OCR
55/100- ECI—
- Price$0.07 / $0.16
- Context34K
- Our pick
CohereCommand R7B
65/100- ECI—
- Price$0.037 / $0.15
- Context128K
Add a model
Make it a three-way comparison.
Command R7B is our pick
Command R7B is the better all-round choice, scoring 65/100 against Qwen-VL OCR (55). It leads on price, 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 R7BCommand R7B $0.066 · Qwen-VL OCR $0.092 per 1M tokens (3:1 blend)
- Longest contextCommand R7BCommand R7B 128,000 · Qwen-VL OCR 34,096 tokens
- Widest inputsQwen-VL OCRQwen-VL OCR: Text, Images · Command R7B: Text
- Self-hostingCommand R7BPublishes downloadable weights
| Measure | Weight | Qwen-VL OCR | Command R7B |
|---|---|---|---|
| Price | 50% | 95 | 100 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 1 | 24 |
| Overall | 100% | 55/100 | 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 | Qwen-VL OCRAlibaba (Qwen) | Command R7BCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.07 | $0.037 (best) |
| Output | $0.16 | $0.15 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.092 | $0.066 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Cohere API |
| Limits | ||
| Context window | 34,096 tokens | 128,000 tokens (best) |
| Max output | 4,096 tokens (best) | 4,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | qwen-vl-ocr | command-r7b-12-2024 |
| API providers | 1 | 6 (best) |
| Released | Oct 28, 2024 | Dec 13, 2024 |
| Knowledge cutoff | Apr 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.
- Qwen-VL OCR$1.02
- Command R7B$0.675
Which should you choose?
Which is better: Qwen-VL OCR or Command R7B?
Command R7B is the better all-round choice, scoring 65/100 against Qwen-VL OCR (55). It leads on price, 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, Qwen-VL OCR or Command R7B?
Command R7B is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Qwen-VL OCR costs $0.07 input / $0.16 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.066 per million tokens for Command R7B versus $0.092 for Qwen-VL OCR (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen-VL OCR has not been scored yet and Command R7B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen-VL OCR and Command R7B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-VL OCR does not support tool calling, which most coding agents need.
Which has the bigger context window?
Command R7B has the largest context window at 128,000 tokens, against 34,096 for Qwen-VL OCR. Maximum output per response: Qwen-VL OCR up to 4,096, Command R7B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Qwen-VL OCR accepts text and images; Command R7B accepts text. Qwen-VL OCR handles the widest range of inputs.
Are any of these open source?
Command R7B publishes its weights and can be self-hosted; Qwen-VL OCR is proprietary.
Which is newer?
Command R7B is the newest, released Dec 13, 2024. Qwen-VL OCR came out Oct 28, 2024. Knowledge cutoff: Qwen-VL OCR Apr 2024, Command R7B 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.
