Command R vs Qwen-MT Turbo vs Solar Pro 2
Too close to call on our weighted score (Solar Pro 2 52, Command R 51, Qwen-MT Turbo 40). The right pick depends on what you value most.
CohereCommand R
51/100- ECI—
- Price$0.15 / $0.60
- Context128K
Alibaba (Qwen)Qwen-MT Turbo
40/100- ECI—
- Price$0.16 / $0.49
- Context16K
Upstage
Solar Pro 2
52/100- ECI—
- Price$0.25 / $0.25
- Context66K
Too close to call
It is close. Our weighted score puts them within 1 points (Solar Pro 2 52/100, Command R 51/100, Qwen-MT Turbo 40/100), so choose by what matters most for your work: Qwen-MT Turbo on price and Command R 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 priceQwen-MT TurboQwen-MT Turbo $0.242 · Solar Pro 2 $0.25 · Command R $0.263 per 1M tokens (3:1 blend)
- Longest contextCommand RCommand R 128,000 · Solar Pro 2 65,536 · Qwen-MT Turbo 16,384 tokens
- Widest inputsSame inputsCommand R: Text · Qwen-MT Turbo: Text · Solar Pro 2: Text
- Self-hostingCommand RPublishes downloadable weights
| Measure | Weight | Command R | Qwen-MT Turbo | Solar Pro 2 |
|---|---|---|---|---|
| Price | 50% | 77 | 79 | 78 |
| Inputs & features | 30% | 25 | 0 | 35 |
| Context window | 20% | 24 | 0 | 12 |
| Overall | 100% | 51/100 | 40/100 | 52/100 |
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 | Qwen-MT TurboAlibaba (Qwen) | Solar Pro 2Upstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 (best) | $0.16 | $0.25 |
| Output | $0.60 | $0.49 | $0.25 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.263 | $0.242 (best) | $0.25 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Alibaba API | Official Upstage API |
| Limits | |||
| Context window | 128,000 tokens (best) | 16,384 tokens | 65,536 tokens |
| Max output | 4,000 tokens | 8,192 tokens (best) | 8,192 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yesminimal · high |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-r-08-2024 | qwen-mt-turbo | solar-pro2 |
| API providers | 5 (best) | 1 | 2 |
| Released | Aug 30, 2024 | Jan 2025 | May 20, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Apr 2024 | Mar 2025 |
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
- Qwen-MT Turbo$2.58
- Solar Pro 2$3.00
Which should you choose?
Which is better: Command R, Qwen-MT Turbo or Solar Pro 2?
It is close. Our weighted score puts them within 1 points (Solar Pro 2 52/100, Command R 51/100, Qwen-MT Turbo 40/100), so choose by what matters most for your work: Qwen-MT Turbo on price and Command R 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, Command R, Qwen-MT Turbo or Solar Pro 2?
Qwen-MT Turbo is cheaper at $0.16 input / $0.49 output per million tokens (official Alibaba API price). Solar Pro 2 costs $0.25 input / $0.25 output per million tokens (official Upstage 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 $0.242 per million tokens for Qwen-MT Turbo versus $0.25 for Solar Pro 2 (1× as much) and $0.263 for Command R (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command R has not been scored yet, Qwen-MT Turbo has not been scored yet and Solar Pro 2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command R, Qwen-MT Turbo and Solar Pro 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Turbo does not support tool calling, which most coding agents need.
Which has the bigger context window?
Command R has the largest context window at 128,000 tokens, against 65,536 for Solar Pro 2 and 16,384 for Qwen-MT Turbo. Maximum output per response: Command R up to 4,000, Qwen-MT Turbo up to 8,192, Solar Pro 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Command R accepts text; Qwen-MT Turbo accepts text; Solar Pro 2 accepts text. They handle the same number of input types.
Are any of these open source?
Command R publishes its weights and can be self-hosted; Qwen-MT Turbo and Solar Pro 2 is proprietary.
Which is newer?
Solar Pro 2 is the newest, released May 20, 2025. Qwen-MT Turbo came out Jan 2025; Command R came out Aug 30, 2024. Knowledge cutoff: Command R Jun 1, 2024, Qwen-MT Turbo Apr 2024, Solar Pro 2 Mar 2025.
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.
