Qwen3 vs Sonar Pro Max: which model should you choose?
We compared Qwen3 and Sonar Pro Max on price, context window and 12 benchmarks. Sonar Pro Max has the stronger average benchmark score; Qwen3 is cheaper on a blended 3:1 basis.
Qwen3
Qwen3 is a multimodal model from Alibaba Cloud. It offers a 128,000-token context window, costs $5.04 per million input tokens and $22.52 per million output tokens, and averages 80.3 across the index's benchmark suite.
- Input
- $5.04 / 1M
- Output
- $22.52 / 1M
- Context
- 128,000
- Avg score
- 80.3
- Open weights
- Yes
Sonar Pro Max
Sonar Pro Max is a multimodal model from Perplexity. It offers a 128,000-token context window, costs $14.01 per million input tokens and $69.33 per million output tokens, and averages 81.1 across the index's benchmark suite.
- Input
- $14.01 / 1M
- Output
- $69.33 / 1M
- Context
- 128,000
- Avg score
- 81.1
- Open weights
- No
Specification comparison
| Spec | Qwen3 | Sonar Pro Max | Edge |
|---|---|---|---|
| Input price / 1M | $5.04 | $14.01 | A |
| Output price / 1M | $22.52 | $69.33 | A |
| Context window | 128,000 | 128,000 | Tie |
| Max output | 8,192 | 4,096 | A |
| Average score | 80.3 | 81.1 | B |
| Arena Elo | 1420.9 | 1437.8 | B |
| Open weights | Yes | No | A |
Benchmark comparison
Qwen3 wins 3, Sonar Pro Max wins 9, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Qwen3 | Sonar Pro Max | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.2 | 83.7 | 2.5 | Sonar Pro Max |
| GPQA Diamond | 77.7 | 78.8 | 1.1 | Sonar Pro Max |
| SWE-bench Verified | 71.6 | 71.7 | 0.1 | Sonar Pro Max |
| HumanEval | 87.0 | 85.1 | 1.9 | Qwen3 |
| MATH-500 | 86.5 | 86.2 | 0.3 | Qwen3 |
| AIME 2025 | 74.5 | 74.9 | 0.4 | Sonar Pro Max |
| LiveCodeBench | 73.8 | 75.7 | 1.9 | Sonar Pro Max |
| IFEval | 85.6 | 88.3 | 2.7 | Sonar Pro Max |
| TruthfulQA | 80.4 | 82.0 | 1.6 | Sonar Pro Max |
| HellaSwag | 88.1 | 88.0 | 0.1 | Qwen3 |
| MMMU | 76.7 | 77.2 | 0.5 | Sonar Pro Max |
| Arena Elo | 1420.9 | 1437.8 | 16.9 | Sonar Pro Max |
Price analysis
On a blended 3:1 input-to-output basis, Qwen3 costs about $9.41 per million tokens and Sonar Pro Max costs about $27.84. Qwen3 is roughly 66% cheaper than Sonar Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 128,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Qwen3 wins 3, Sonar Pro Max wins 9, and 0 are tied. On the index average, Sonar Pro Max leads Qwen3 by 0.8 points (81.1 versus 80.3).
The price picture favours Qwen3. The context picture is effectively a tie. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Sonar Pro Max for quality-sensitive work and Qwen3 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Qwen3 if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 8,192-token output limit.
- You need open weights for self-hosting or fine-tuning.
Choose Sonar Pro Max if
- You want the higher average benchmark score in this index.
FAQ
Is Qwen3 better than Sonar Pro Max?
On the index average, Sonar Pro Max leads Qwen3 by 0.8 points (81.1 versus 80.3). The better choice depends on price, context and your task. Qwen3 wins 3 benchmarks, Sonar Pro Max wins 9.
Which is cheaper, Qwen3 or Sonar Pro Max?
Qwen3 is cheaper on a blended 3:1 basis at about $9.41 per million tokens, versus $27.84 for Sonar Pro Max.
Which has the larger context window?
Both models list a 128,000-token context window.
Are these models open weights?
Qwen3 is open weights; Sonar Pro Max is proprietary.
Which should I choose for production?
If you need a single default, start with Sonar Pro Max for quality-sensitive work and Qwen3 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.