Qwen2.5-VL 72B Instruct vs Sonar Reasoning Pro
Too close to call on our weighted score (Qwen2.5-VL 72B Instruct 30, Sonar Reasoning Pro 27). The right pick depends on what you value most.
Alibaba (Qwen)
Qwen2.5-VL 72B Instruct
30/100- ECI—
- Price$2.80 / $8.40
- Context131K
Perplexity
Sonar Reasoning Pro
27/100- ECI—
- Price$2.00 / $8.00
- Context128K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Qwen2.5-VL 72B Instruct 30/100, Sonar Reasoning Pro 27/100), so choose by what matters most for your work: Sonar Reasoning Pro on price and Qwen2.5-VL 72B Instruct 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 priceSonar Reasoning ProSonar Reasoning Pro $3.50 · Qwen2.5-VL 72B Instruct $4.20 per 1M tokens (3:1 blend)
- Longest contextQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct 131,072 · Sonar Reasoning Pro 128,000 tokens
- Widest inputsSame inputsQwen2.5-VL 72B Instruct: Text, Images · Sonar Reasoning Pro: Text, Images
- Self-hostingQwen2.5-VL 72B InstructPublishes downloadable weights
| Measure | Weight | Qwen2.5-VL 72B Instruct | Sonar Reasoning Pro |
|---|---|---|---|
| Price | 50% | 20 | 24 |
| Inputs & features | 30% | 50 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 30/100 | 27/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.80 | $2.00 (best) |
| Output | $8.40 | $8.00 (best) |
| Cached input | — | — |
| Blended (3:1) | $4.20 | $3.50 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Perplexity API |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yesminimal · low · medium · high |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | qwen2-5-vl-72b-instruct | sonar-reasoning-pro |
| API providers | 1 | 4 (best) |
| Released | Sep 2024 | Jan 1, 2024 |
| Knowledge cutoff | Apr 2024 | Sep 1, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen2.5-VL 72B Instruct$44.80
Sonar Reasoning Pro$36.00
Which should you choose?
Which is better: Qwen2.5-VL 72B Instruct or Sonar Reasoning Pro?
It is close. Our weighted score puts them within 3 points (Qwen2.5-VL 72B Instruct 30/100, Sonar Reasoning Pro 27/100), so choose by what matters most for your work: Sonar Reasoning Pro on price and Qwen2.5-VL 72B Instruct 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, Qwen2.5-VL 72B Instruct or Sonar Reasoning Pro?
Sonar Reasoning Pro is cheaper at $2.00 input / $8.00 output per million tokens (official Perplexity API price). Qwen2.5-VL 72B Instruct costs $2.80 input / $8.40 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 Reasoning Pro versus $4.20 for Qwen2.5-VL 72B Instruct (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen2.5-VL 72B Instruct has not been scored yet and Sonar Reasoning Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5-VL 72B Instruct and Sonar Reasoning Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Reasoning Pro does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen2.5-VL 72B Instruct has the largest context window at 131,072 tokens, against 128,000 for Sonar Reasoning Pro. Maximum output per response: Qwen2.5-VL 72B Instruct up to 8,192, Sonar Reasoning Pro up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5-VL 72B Instruct accepts text and images; Sonar Reasoning Pro accepts text and images. They handle the same number of input types.
Are any of these open source?
Qwen2.5-VL 72B Instruct publishes its weights and can be self-hosted; Sonar Reasoning Pro is proprietary.
Which is newer?
Qwen2.5-VL 72B Instruct is the newest, released Sep 2024. Sonar Reasoning Pro came out Jan 1, 2024. Knowledge cutoff: Qwen2.5-VL 72B Instruct Apr 2024, Sonar Reasoning Pro Sep 1, 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.