Qwen-VL Max vs Qwen2.5-VL 7B Instruct vs Sonar
Qwen2.5-VL 7B Instruct comes out ahead, 51 to 41 and 30 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen-VL Max
41/100- ECI—
- Price$0.80 / $3.20
- Context131K
- Our pickAlibaba (Qwen)
Qwen2.5-VL 7B Instruct
51/100- ECI—
- Price$0.35 / $1.05
- Context131K
PerplexitySonar
30/100- ECI—
- Price$1.00 / $1.00
- Context128K
Qwen2.5-VL 7B Instruct is our pick
Qwen2.5-VL 7B Instruct is the better all-round choice, scoring 51/100 against Qwen-VL Max (41) and Sonar (30). It leads on price. 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 priceQwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct $0.525 · Sonar $1.00 · Qwen-VL Max $1.40 per 1M tokens (3:1 blend)
- Longest contextQwen-VL Max and Qwen2.5-VL 7B InstructQwen-VL Max 131,072 · Qwen2.5-VL 7B Instruct 131,072 · Sonar 128,000 tokens
- Widest inputsQwen-VL Max and Qwen2.5-VL 7B InstructQwen-VL Max: Text, Images · Qwen2.5-VL 7B Instruct: Text, Images · Sonar: Text
- Self-hostingQwen2.5-VL 7B InstructPublishes downloadable weights
| Measure | Weight | Qwen-VL Max | Qwen2.5-VL 7B Instruct | Sonar |
|---|---|---|---|---|
| Price | 50% | 43 | 63 | 50 |
| Inputs & features | 30% | 50 | 50 | 0 |
| Context window | 20% | 24 | 24 | 24 |
| Overall | 100% | 41/100 | 51/100 | 30/100 |
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 | Qwen-VL MaxAlibaba (Qwen) | Qwen2.5-VL 7B InstructAlibaba (Qwen) | SonarPerplexity |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.80 | $0.35 (best) | $1.00 |
| Output | $3.20 | $1.05 | $1.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $1.40 | $0.525 (best) | $1.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Alibaba API | Official Perplexity API |
| Limits | |||
| Context window | 131,072 tokens (best) | 131,072 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens (best) | 8,192 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | qwen-vl-max | qwen2-5-vl-7b-instruct | sonar |
| API providers | 3 | 1 | 6 (best) |
| Released | Apr 8, 2024 | Sep 2024 | Jan 1, 2024 |
| Knowledge cutoff | Apr 2024 | 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
- Qwen2.5-VL 7B Instruct$5.60
- Sonar$12.00
Which should you choose?
Which is better: Qwen-VL Max, Qwen2.5-VL 7B Instruct or Sonar?
Qwen2.5-VL 7B Instruct is the better all-round choice, scoring 51/100 against Qwen-VL Max (41) and Sonar (30). It leads on price. 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, Qwen-VL Max, Qwen2.5-VL 7B Instruct or Sonar?
Qwen2.5-VL 7B Instruct is cheaper at $0.35 input / $1.05 output per million tokens (official Alibaba API price). Sonar costs $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 $0.525 per million tokens for Qwen2.5-VL 7B Instruct versus $1.00 for Sonar (1.9× as much) and $1.40 for Qwen-VL Max (2.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen-VL Max has not been scored yet, Qwen2.5-VL 7B Instruct has not been scored yet and Sonar has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen-VL Max, Qwen2.5-VL 7B Instruct and Sonar 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?
Qwen-VL Max and Qwen2.5-VL 7B Instruct have the largest context windows (131,072 and 131,072 tokens), against 128,000 for Sonar. Maximum output per response: Qwen-VL Max up to 8,192, Qwen2.5-VL 7B Instruct up to 8,192, Sonar up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Qwen-VL Max accepts text and images; Qwen2.5-VL 7B Instruct accepts text and images; Sonar accepts text. Qwen-VL Max handles the widest range of inputs.
Are any of these open source?
Qwen2.5-VL 7B Instruct publishes its weights and can be self-hosted; Qwen-VL Max and Sonar is proprietary.
Which is newer?
Qwen2.5-VL 7B Instruct is the newest, released Sep 2024. Qwen-VL Max came out Apr 8, 2024; Sonar came out Jan 1, 2024. Knowledge cutoff: Qwen-VL Max Apr 2024, Qwen2.5-VL 7B Instruct 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.
