Qwen-VL Max vs Sonar vs Vision Large
Vision Large comes out ahead, 84 to 40 and 10 on our weighted score.
Alibaba (Qwen)Qwen-VL Max
40/100- ECI—
- Price$0.80 / $3.20
- Context131K
PerplexitySonar
10/100- ECI—
- Price$1.00 / $1.00
- Context128K
- Our pick
VisparkVision Large
84/100- ECI—
- Price—
- Context1M
Vision Large is our pick
Vision Large is the better all-round choice, scoring 84/100 against Qwen-VL Max (40) and Sonar (10). It leads on inputs & features and context window. 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 priceSonarSonar $1.00 · Qwen-VL Max $1.40 per 1M tokens (3:1 blend) · Vision Large unpriced
- Longest contextVision LargeVision Large 1,000,000 · Qwen-VL Max 131,072 · Sonar 128,000 tokens
- Widest inputsVision LargeQwen-VL Max: Text, Images · Sonar: Text · Vision Large: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Qwen-VL Max | Sonar | Vision Large |
|---|---|---|---|---|
| Inputs & features | 60% | 50 | 0 | 100 |
| Context window | 40% | 24 | 24 | 60 |
| Overall | 100% | 40/100 | 10/100 | 84/100 |
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 | Qwen-VL MaxAlibaba (Qwen) | SonarPerplexity | Vision LargeVispark |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.80 (best) | $1.00 | — |
| Output | $3.20 | $1.00 (best) | — |
| Cached input | — | — | — |
| Blended (3:1) | $1.40 | $1.00 (best) | — |
| Long-context rate | Same rate | Same rate | — |
| Price source | Official Alibaba API | Official Perplexity API | — |
| Limits | |||
| Context window | 131,072 tokens | 128,000 tokens | 1,000,000 tokens (best) |
| Max output | 8,192 tokens | 4,096 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | No | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | qwen-vl-max | sonar | — |
| API providers | 3 | 6 (best) | — |
| Released | Apr 8, 2024 | Jan 1, 2024 | May 15, 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.
- Qwen-VL Max$14.40
- Sonar$12.00
- Vision Large—
Which should you choose?
Which is better: Qwen-VL Max, Sonar or Vision Large?
Vision Large is the better all-round choice, scoring 84/100 against Qwen-VL Max (40) and Sonar (10). It leads on inputs & features and context window. 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, Qwen-VL Max, Sonar or Vision Large?
Sonar is cheaper at $1.00 input / $1.00 output per million tokens (official Perplexity API price). Qwen-VL Max costs $0.80 input / $3.20 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for Sonar versus $1.40 for Qwen-VL Max (1.4× as much). Vision Large has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen-VL Max has not been scored yet, Sonar has not been scored yet and Vision Large has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen-VL Max, Sonar and Vision Large yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar does not support tool calling, which most coding agents need.
Which has the bigger context window?
Vision Large has the largest context window at 1,000,000 tokens, against 131,072 for Qwen-VL Max and 128,000 for Sonar. Maximum output per response: Qwen-VL Max up to 8,192, Sonar up to 4,096, Vision Large up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Qwen-VL Max accepts text and images; Sonar accepts text; Vision Large accepts text, images, PDFs, audio and video. Vision Large handles the widest range of inputs.
Are any of these open source?
No. Qwen-VL Max, Sonar and Vision Large are proprietary and only available through APIs and apps.
Which is newer?
Vision Large is the newest, released May 15, 2024. Qwen-VL Max came out Apr 8, 2024; Sonar came out Jan 1, 2024. Knowledge cutoff: Qwen-VL Max Apr 2024, Sonar 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.
