Grok 4 vs Qwen3-Max Turbo: which model should you choose?
We compared Grok 4 and Qwen3-Max Turbo on price, context window and 12 benchmarks. Grok 4 has the stronger average benchmark score; Qwen3-Max Turbo is cheaper on a blended 3:1 basis.
Grok 4
Grok 4 is a frontier model from xAI. It offers a 200,000-token context window, costs $17.90 per million input tokens and $84.75 per million output tokens, and averages 86.5 across the index's benchmark suite.
- Input
- $17.90 / 1M
- Output
- $84.75 / 1M
- Context
- 200,000
- Avg score
- 86.5
- Open weights
- No
Qwen3-Max Turbo
Qwen3-Max Turbo is a frontier model from Alibaba Cloud. It offers a 1,000,000-token context window, costs $17.70 per million input tokens and $63.95 per million output tokens, and averages 84.7 across the index's benchmark suite.
- Input
- $17.70 / 1M
- Output
- $63.95 / 1M
- Context
- 1,000,000
- Avg score
- 84.7
- Open weights
- No
Specification comparison
| Spec | Grok 4 | Qwen3-Max Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $17.90 | $17.70 | B |
| Output price / 1M | $84.75 | $63.95 | B |
| Context window | 200,000 | 1,000,000 | B |
| Max output | 32,768 | 128,000 | B |
| Average score | 86.5 | 84.7 | A |
| Arena Elo | 1457.8 | 1456.9 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Grok 4 wins 9, Qwen3-Max Turbo wins 3, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Grok 4 | Qwen3-Max Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 87.8 | 86.8 | 1.0 | Grok 4 |
| GPQA Diamond | 82.6 | 78.3 | 4.3 | Grok 4 |
| SWE-bench Verified | 77.9 | 75.9 | 2.0 | Grok 4 |
| HumanEval | 92.0 | 92.5 | 0.5 | Qwen3-Max Turbo |
| MATH-500 | 90.8 | 91.9 | 1.1 | Qwen3-Max Turbo |
| AIME 2025 | 82.2 | 81.2 | 1.0 | Grok 4 |
| LiveCodeBench | 82.2 | 76.8 | 5.4 | Grok 4 |
| IFEval | 91.6 | 92.1 | 0.5 | Qwen3-Max Turbo |
| TruthfulQA | 87.6 | 86.3 | 1.3 | Grok 4 |
| HellaSwag | 93.9 | 90.8 | 3.1 | Grok 4 |
| MMMU | 82.9 | 78.8 | 4.1 | Grok 4 |
| Arena Elo | 1457.8 | 1456.9 | 0.9 | Grok 4 |
Price analysis
On a blended 3:1 input-to-output basis, Grok 4 costs about $34.61 per million tokens and Qwen3-Max Turbo costs about $29.26. Qwen3-Max Turbo is roughly 15% cheaper than Grok 4. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Qwen3-Max Turbo has the larger context window at 1,000,000 tokens, compared with 200,000 for Grok 4. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Grok 4 wins 9, Qwen3-Max Turbo wins 3, and 0 are tied. On the index average, Grok 4 leads Qwen3-Max Turbo by 1.8 points (86.5 versus 84.7).
The price picture favours Qwen3-Max Turbo. The context picture favours Qwen3-Max Turbo. 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 Grok 4 for quality-sensitive work and Qwen3-Max Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Grok 4 if
- You want the higher average benchmark score in this index.
Choose Qwen3-Max Turbo if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 1,000,000-token context window.
- You need the larger 128,000-token output limit.
FAQ
Is Grok 4 better than Qwen3-Max Turbo?
On the index average, Grok 4 leads Qwen3-Max Turbo by 1.8 points (86.5 versus 84.7). The better choice depends on price, context and your task. Grok 4 wins 9 benchmarks, Qwen3-Max Turbo wins 3.
Which is cheaper, Grok 4 or Qwen3-Max Turbo?
Qwen3-Max Turbo is cheaper on a blended 3:1 basis at about $29.26 per million tokens, versus $34.61 for Grok 4.
Which has the larger context window?
Qwen3-Max Turbo has the larger context window at 1,000,000 tokens. Grok 4 has 200,000 tokens.
Are these models open weights?
Grok 4 is proprietary; Qwen3-Max Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with Grok 4 for quality-sensitive work and Qwen3-Max Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.