Head-to-head · frontier vs frontier

GPT-4.1 Max vs Qwen3-Max Turbo: which model should you choose?

We compared GPT-4.1 Max and Qwen3-Max Turbo on price, context window and 12 benchmarks. GPT-4.1 Max and Qwen3-Max Turbo are effectively tied on the index average; Qwen3-Max Turbo is cheaper on a blended 3:1 basis.

OpenAI

GPT-4.1 Max

GPT-4.1 Max is a frontier model from OpenAI. It offers a 400,000-token context window, costs $17.34 per million input tokens and $66.38 per million output tokens, and averages 84.7 across the index's benchmark suite.

Input
$17.34 / 1M
Output
$66.38 / 1M
Context
400,000
Avg score
84.7
Open weights
No
Full GPT-4.1 Max page
Alibaba Cloud

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
Full Qwen3-Max Turbo page

Specification comparison

SpecGPT-4.1 MaxQwen3-Max TurboEdge
Input price / 1M$17.34$17.70A
Output price / 1M$66.38$63.95B
Context window400,0001,000,000B
Max output8,192128,000B
Average score84.784.7Tie
Arena Elo1467.61456.9A
Open weightsNoNoTie

Benchmark comparison

GPT-4.1 Max wins 6, Qwen3-Max Turbo wins 5, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGPT-4.1 MaxQwen3-Max TurboGapWinner
MMLU-Pro87.486.80.6GPT-4.1 Max
GPQA Diamond81.278.32.9GPT-4.1 Max
SWE-bench Verified74.875.91.1Qwen3-Max Turbo
HumanEval88.892.53.7Qwen3-Max Turbo
MATH-50087.391.94.6Qwen3-Max Turbo
AIME 202584.981.23.7GPT-4.1 Max
LiveCodeBench78.576.81.7GPT-4.1 Max
IFEval92.192.10.0Tie
TruthfulQA85.486.30.9Qwen3-Max Turbo
HellaSwag90.790.80.1Qwen3-Max Turbo
MMMU80.578.81.7GPT-4.1 Max
Arena Elo1467.61456.910.7GPT-4.1 Max

Price analysis

On a blended 3:1 input-to-output basis, GPT-4.1 Max costs about $29.60 per million tokens and Qwen3-Max Turbo costs about $29.26. Qwen3-Max Turbo is roughly 1% cheaper than GPT-4.1 Max. 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 400,000 for GPT-4.1 Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, GPT-4.1 Max wins 6, Qwen3-Max Turbo wins 5, and 1 are tied. The two models are effectively tied on the index average at 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 Qwen3-Max Turbo; it is cheaper on a blended basis and has the larger context window. Test it on your own traffic before committing.

Choose GPT-4.1 Max if

  • You prefer OpenAI's tooling or already use it.

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 GPT-4.1 Max better than Qwen3-Max Turbo?

The two models are effectively tied on the index average at 84.7. The better choice depends on price, context and your task. GPT-4.1 Max wins 6 benchmarks, Qwen3-Max Turbo wins 5.

Which is cheaper, GPT-4.1 Max or Qwen3-Max Turbo?

Qwen3-Max Turbo is cheaper on a blended 3:1 basis at about $29.26 per million tokens, versus $29.60 for GPT-4.1 Max.

Which has the larger context window?

Qwen3-Max Turbo has the larger context window at 1,000,000 tokens. GPT-4.1 Max has 400,000 tokens.

Are these models open weights?

GPT-4.1 Max is proprietary; Qwen3-Max Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with Qwen3-Max Turbo; it is cheaper on a blended basis and has the larger context window. Test it on your own traffic before committing.

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