Sonar Deep Research vs Aya Vision 32B vs Qwen-MT Plus
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.
PerplexitySonar Deep Research
16/100- ECI—
- Price$2.00 / $8.00
- Context128K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
Alibaba (Qwen)Qwen-MT Plus
0/100- ECI—
- Price$2.46 / $7.37
- Context16K
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 32BSonar Deep Research: Text · Aya Vision 32B: Text, Images · Qwen-MT Plus: Text
- Self-hostingAya Vision 32BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Sonar Deep Research | Aya Vision 32B | Qwen-MT Plus |
|---|---|---|---|---|
| Inputs & features | 60% | 10 | 25 | 0 |
| Context window | 40% | 24 | 0 | 0 |
| Overall | 100% | 16/100 | 15/100 | 0/100 |
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 | Sonar Deep ResearchPerplexity | Aya Vision 32BCohere | Qwen-MT PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.00 (best) | — | $2.46 |
| Output | $8.00 | — | $7.37 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.50 (best) | — | $3.69 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Perplexity API | — | Official Alibaba API |
| Limits | |||
| Context window | 128,000 tokens (best) | 16,000 tokens | 16,384 tokens |
| Max output | 32,768 tokens (best) | 4,000 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yesminimal · low · medium · high | No | No |
| Tool calling | No | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenCC-BY-NC-4.0 | Proprietary |
| API model ID | sonar-deep-research | c4ai-aya-vision-32b | qwen-mt-plus |
| API providers | 3 (best) | 1 | 1 |
| Released | Feb 1, 2025 | Mar 4, 2025 | Jan 2025 |
| Knowledge cutoff | Jan 2025 | — | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Sonar Deep Research$36.00
- Aya Vision 32B—
- Qwen-MT Plus$39.34
Which should you choose?
Which is better: Sonar Deep Research, Aya Vision 32B or Qwen-MT Plus?
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, Sonar Deep Research, Aya Vision 32B or Qwen-MT Plus?
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. Sonar Deep Research has not been scored yet, Aya Vision 32B has not been scored yet and Qwen-MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Sonar Deep Research, Aya Vision 32B and Qwen-MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Deep Research, Aya Vision 32B and Qwen-MT Plus 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: Sonar Deep Research up to 32,768, Aya Vision 32B up to 4,000, Qwen-MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Sonar Deep Research accepts text; Aya Vision 32B accepts text and images; Qwen-MT Plus 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; Sonar Deep Research and Qwen-MT Plus 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: Sonar Deep Research Jan 2025, Qwen-MT Plus Apr 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 Oct 4, 2026.
