Command A vs Qwen-MT Plus vs Sonar Deep Research
Command A comes out ahead, 24 to 20 and 12 on our weighted score, though Sonar Deep Research is 20% cheaper per token.
- Our pick
CohereCommand A
24/100- ECI—
- Price$2.50 / $10.00
- Context256K
Alibaba (Qwen)Qwen-MT Plus
12/100- ECI—
- Price$2.46 / $7.37
- Context16K
PerplexitySonar Deep Research
20/100- ECI—
- Price$2.00 / $8.00
- Context128K
Command A is our pick
Command A is the better all-round choice, scoring 24/100 against Sonar Deep Research (20) and Qwen-MT Plus (12). 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 priceSonar Deep ResearchSonar Deep Research $3.50 · Qwen-MT Plus $3.69 · Command A $4.38 per 1M tokens (3:1 blend)
- Longest contextCommand ACommand A 256,000 · Sonar Deep Research 128,000 · Qwen-MT Plus 16,384 tokens
- Widest inputsSame inputsCommand A: Text · Qwen-MT Plus: Text · Sonar Deep Research: Text
- Self-hostingCommand APublishes downloadable weights
| Measure | Weight | Command A | Qwen-MT Plus | Sonar Deep Research |
|---|---|---|---|---|
| Price | 50% | 19 | 23 | 24 |
| Inputs & features | 30% | 25 | 0 | 10 |
| Context window | 20% | 36 | 0 | 24 |
| Overall | 100% | 24/100 | 12/100 | 20/100 |
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 ACohere | Qwen-MT PlusAlibaba (Qwen) | Sonar Deep ResearchPerplexity |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $2.46 | $2.00 (best) |
| Output | $10.00 | $7.37 (best) | $8.00 |
| Cached input | — | — | — |
| Blended (3:1) | $4.38 | $3.69 | $3.50 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Alibaba API | Official Perplexity API |
| Limits | |||
| Context window | 256,000 tokens (best) | 16,384 tokens | 128,000 tokens |
| Max output | 8,000 tokens | 8,192 tokens | 32,768 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 · low · medium · high |
| Tool calling | Yes | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-03-2025 | qwen-mt-plus | sonar-deep-research |
| API providers | 3 (best) | 1 | 3 (best) |
| Released | Mar 13, 2025 | Jan 2025 | Feb 1, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Apr 2024 | Jan 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 A$45.00
- Qwen-MT Plus$39.34
- Sonar Deep Research$36.00
Which should you choose?
Which is better: Command A, Qwen-MT Plus or Sonar Deep Research?
Command A is the better all-round choice, scoring 24/100 against Sonar Deep Research (20) and Qwen-MT Plus (12). 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 A, Qwen-MT Plus or Sonar Deep Research?
Sonar Deep Research is cheaper at $2.00 input / $8.00 output per million tokens (official Perplexity API price). Qwen-MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price); Command A costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for Sonar Deep Research versus $3.69 for Qwen-MT Plus (1.1× as much) and $4.38 for Command A (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A has not been scored yet, Qwen-MT Plus has not been scored yet and Sonar Deep Research has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A, Qwen-MT Plus and Sonar Deep Research yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Plus and Sonar Deep Research does not support tool calling, which most coding agents need.
Which has the bigger context window?
Command A has the largest context window at 256,000 tokens, against 128,000 for Sonar Deep Research and 16,384 for Qwen-MT Plus. Maximum output per response: Command A up to 8,000, Qwen-MT Plus up to 8,192, Sonar Deep Research up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Command A accepts text; Qwen-MT Plus accepts text; Sonar Deep Research accepts text. They handle the same number of input types.
Are any of these open source?
Command A publishes its weights and can be self-hosted; Qwen-MT Plus and Sonar Deep Research is proprietary.
Which is newer?
Command A is the newest, released Mar 13, 2025. Sonar Deep Research came out Feb 1, 2025; Qwen-MT Plus came out Jan 2025. Knowledge cutoff: Command A Jun 1, 2024, Qwen-MT Plus Apr 2024, Sonar Deep Research Jan 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.
