Aya Vision 32B vs Qwen-MT Plus vs Sonar Deep Research
Too close to call on our weighted score (Sonar Deep Research 16, Aya Vision 32B 15, Qwen-MT Plus 0). The right pick depends on what you value most.
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
Alibaba (Qwen)Qwen-MT Plus
0/100- ECI—
- Price$2.46 / $7.37
- Context16K
PerplexitySonar Deep Research
16/100- ECI—
- Price$2.00 / $8.00
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (Sonar Deep Research 16/100, Aya Vision 32B 15/100, Qwen-MT Plus 0/100), so choose by what matters most for your work: Sonar Deep Research on price and Sonar Deep Research for long inputs. The score weighs inputs & features 60%, context window 40%. 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 per 1M tokens (3:1 blend) · Aya Vision 32B unpriced
- Longest contextSonar Deep ResearchSonar Deep Research 128,000 · Qwen-MT Plus 16,384 · Aya Vision 32B 16,000 tokens
- Widest inputsAya Vision 32BAya Vision 32B: Text, Images · Qwen-MT Plus: Text · Sonar Deep Research: Text
- Self-hostingAya Vision 32BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Aya Vision 32B | Qwen-MT Plus | Sonar Deep Research |
|---|---|---|---|---|
| Inputs & features | 60% | 25 | 0 | 10 |
| Context window | 40% | 0 | 0 | 24 |
| Overall | 100% | 15/100 | 0/100 | 16/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Aya Vision 32BCohere | Qwen-MT PlusAlibaba (Qwen) | Sonar Deep ResearchPerplexity |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $2.46 | $2.00 (best) |
| Output | — | $7.37 (best) | $8.00 |
| Cached input | — | — | — |
| Blended (3:1) | — | $3.69 | $3.50 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official Alibaba API | Official Perplexity API |
| Limits | |||
| Context window | 16,000 tokens | 16,384 tokens | 128,000 tokens (best) |
| Max output | 4,000 tokens | 8,192 tokens | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yesminimal · low · medium · high |
| Tool calling | No | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | Proprietary | Proprietary |
| API model ID | c4ai-aya-vision-32b | qwen-mt-plus | sonar-deep-research |
| API providers | 1 | 1 | 3 (best) |
| Released | Mar 4, 2025 | Jan 2025 | Feb 1, 2025 |
| Knowledge cutoff | — | 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.
- Aya Vision 32B—
- Qwen-MT Plus$39.34
- Sonar Deep Research$36.00
Which should you choose?
Which is better: Aya Vision 32B, Qwen-MT Plus or Sonar Deep Research?
It is close. Our weighted score puts them within a point (Sonar Deep Research 16/100, Aya Vision 32B 15/100, Qwen-MT Plus 0/100), so choose by what matters most for your work: Sonar Deep Research on price and Sonar Deep Research for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Aya Vision 32B, 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). 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). Aya Vision 32B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Aya Vision 32B 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 Aya Vision 32B, 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 Aya Vision 32B, Qwen-MT Plus and Sonar Deep Research does not support tool calling, which most coding agents need.
Which has the bigger context window?
Sonar Deep Research has the largest context window at 128,000 tokens, against 16,384 for Qwen-MT Plus and 16,000 for Aya Vision 32B. Maximum output per response: Aya Vision 32B up to 4,000, Qwen-MT Plus up to 8,192, Sonar Deep Research up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Aya Vision 32B accepts text and images; Qwen-MT Plus accepts text; Sonar Deep Research accepts text. Aya Vision 32B handles the widest range of inputs.
Are any of these open source?
Aya Vision 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Qwen-MT Plus and Sonar Deep Research is proprietary.
Which is newer?
Aya Vision 32B is the newest, released Mar 4, 2025. Sonar Deep Research came out Feb 1, 2025; Qwen-MT Plus came out Jan 2025. Knowledge cutoff: 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.
