Head-to-head · frontier vs frontier

GPT-5.1 Turbo vs Qwen3-Max Pro: which model should you choose?

We compared GPT-5.1 Turbo and Qwen3-Max Pro on price, context window and 12 benchmarks. Qwen3-Max Pro has the stronger average benchmark score; Qwen3-Max Pro is cheaper on a blended 3:1 basis.

OpenAI

GPT-5.1 Turbo

GPT-5.1 Turbo is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.19 per million input tokens and $89.83 per million output tokens, and averages 86.1 across the index's benchmark suite.

Input
$19.19 / 1M
Output
$89.83 / 1M
Context
2,000,000
Avg score
86.1
Open weights
No
Full GPT-5.1 Turbo page
Alibaba Cloud

Qwen3-Max Pro

Qwen3-Max Pro is a frontier model from Alibaba Cloud. It offers a 400,000-token context window, costs $18.87 per million input tokens and $84.39 per million output tokens, and averages 86.2 across the index's benchmark suite.

Input
$18.87 / 1M
Output
$84.39 / 1M
Context
400,000
Avg score
86.2
Open weights
No
Full Qwen3-Max Pro page

Specification comparison

SpecGPT-5.1 TurboQwen3-Max ProEdge
Input price / 1M$19.19$18.87B
Output price / 1M$89.83$84.39B
Context window2,000,000400,000A
Max output128,0008,192A
Average score86.186.2B
Arena Elo1482.01466.4A
Open weightsNoNoTie

Benchmark comparison

GPT-5.1 Turbo wins 6, Qwen3-Max Pro wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGPT-5.1 TurboQwen3-Max ProGapWinner
MMLU-Pro85.288.73.5Qwen3-Max Pro
GPQA Diamond81.380.01.3GPT-5.1 Turbo
SWE-bench Verified74.775.60.9Qwen3-Max Pro
HumanEval91.592.10.6Qwen3-Max Pro
MATH-50091.491.80.4Qwen3-Max Pro
AIME 202584.785.40.7Qwen3-Max Pro
LiveCodeBench84.681.03.6GPT-5.1 Turbo
IFEval93.493.20.2GPT-5.1 Turbo
TruthfulQA89.288.60.6GPT-5.1 Turbo
HellaSwag91.392.41.1Qwen3-Max Pro
MMMU79.779.50.2GPT-5.1 Turbo
Arena Elo1482.01466.415.6GPT-5.1 Turbo

Price analysis

On a blended 3:1 input-to-output basis, GPT-5.1 Turbo costs about $36.85 per million tokens and Qwen3-Max Pro costs about $35.25. Qwen3-Max Pro is roughly 4% cheaper than GPT-5.1 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-5.1 Turbo has the larger context window at 2,000,000 tokens, compared with 400,000 for Qwen3-Max Pro. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, GPT-5.1 Turbo wins 6, Qwen3-Max Pro wins 6, and 0 are tied. On the index average, Qwen3-Max Pro leads GPT-5.1 Turbo by 0.1 points (86.2 versus 86.1).

The price picture favours Qwen3-Max Pro. The context picture favours GPT-5.1 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 Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose GPT-5.1 Turbo if

  • You need the larger 2,000,000-token context window.
  • You need the larger 128,000-token output limit.

Choose Qwen3-Max Pro if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.

FAQ

Is GPT-5.1 Turbo better than Qwen3-Max Pro?

On the index average, Qwen3-Max Pro leads GPT-5.1 Turbo by 0.1 points (86.2 versus 86.1). The better choice depends on price, context and your task. GPT-5.1 Turbo wins 6 benchmarks, Qwen3-Max Pro wins 6.

Which is cheaper, GPT-5.1 Turbo or Qwen3-Max Pro?

Qwen3-Max Pro is cheaper on a blended 3:1 basis at about $35.25 per million tokens, versus $36.85 for GPT-5.1 Turbo.

Which has the larger context window?

GPT-5.1 Turbo has the larger context window at 2,000,000 tokens. Qwen3-Max Pro has 400,000 tokens.

Are these models open weights?

GPT-5.1 Turbo is proprietary; Qwen3-Max Pro is proprietary.

Which should I choose for production?

If you need a single default, start with Qwen3-Max Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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