Head-to-head · frontier vs frontier

o3 Reasoning vs Qwen3-Max Pro: which model should you choose?

We compared o3 Reasoning and Qwen3-Max Pro on price, context window and 12 benchmarks. Qwen3-Max Pro has the stronger average benchmark score; o3 Reasoning is cheaper on a blended 3:1 basis.

OpenAI

o3 Reasoning

o3 Reasoning is a frontier model from OpenAI. It offers a 200,000-token context window, costs $18.07 per million input tokens and $70.65 per million output tokens, and averages 85.3 across the index's benchmark suite.

Input
$18.07 / 1M
Output
$70.65 / 1M
Context
200,000
Avg score
85.3
Open weights
No
Full o3 Reasoning 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

Speco3 ReasoningQwen3-Max ProEdge
Input price / 1M$18.07$18.87A
Output price / 1M$70.65$84.39A
Context window200,000400,000B
Max output16,3848,192A
Average score85.386.2B
Arena Elo1456.91466.4B
Open weightsNoNoTie

Benchmark comparison

o3 Reasoning wins 3, Qwen3-Max Pro wins 9, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

Benchmarko3 ReasoningQwen3-Max ProGapWinner
MMLU-Pro87.788.71.0Qwen3-Max Pro
GPQA Diamond79.680.00.4Qwen3-Max Pro
SWE-bench Verified74.175.61.5Qwen3-Max Pro
HumanEval91.392.10.8Qwen3-Max Pro
MATH-50092.091.80.2o3 Reasoning
AIME 202580.585.44.9Qwen3-Max Pro
LiveCodeBench82.781.01.7o3 Reasoning
IFEval90.693.22.6Qwen3-Max Pro
TruthfulQA86.588.62.1Qwen3-Max Pro
HellaSwag90.992.41.5Qwen3-Max Pro
MMMU82.379.52.8o3 Reasoning
Arena Elo1456.91466.49.5Qwen3-Max Pro

Price analysis

On a blended 3:1 input-to-output basis, o3 Reasoning costs about $31.22 per million tokens and Qwen3-Max Pro costs about $35.25. o3 Reasoning is roughly 11% cheaper than Qwen3-Max Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Qwen3-Max Pro has the larger context window at 400,000 tokens, compared with 200,000 for o3 Reasoning. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, o3 Reasoning wins 3, Qwen3-Max Pro wins 9, and 0 are tied. On the index average, Qwen3-Max Pro leads o3 Reasoning by 0.9 points (86.2 versus 85.3).

The price picture favours o3 Reasoning. The context picture favours Qwen3-Max Pro. 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 o3 Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose o3 Reasoning if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 16,384-token output limit.

Choose Qwen3-Max Pro if

  • You want the higher average benchmark score in this index.
  • You need the larger 400,000-token context window.

FAQ

Is o3 Reasoning better than Qwen3-Max Pro?

On the index average, Qwen3-Max Pro leads o3 Reasoning by 0.9 points (86.2 versus 85.3). The better choice depends on price, context and your task. o3 Reasoning wins 3 benchmarks, Qwen3-Max Pro wins 9.

Which is cheaper, o3 Reasoning or Qwen3-Max Pro?

o3 Reasoning is cheaper on a blended 3:1 basis at about $31.22 per million tokens, versus $35.25 for Qwen3-Max Pro.

Which has the larger context window?

Qwen3-Max Pro has the larger context window at 400,000 tokens. o3 Reasoning has 200,000 tokens.

Are these models open weights?

o3 Reasoning 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 o3 Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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