Head-to-head · frontier vs frontier

Gemini 3 Pro vs Qwen3-Max Max: which model should you choose?

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

Google DeepMind

Gemini 3 Pro

Gemini 3 Pro is a frontier model from Google DeepMind. It offers a 2,000,000-token context window, costs $18.24 per million input tokens and $82.93 per million output tokens, and averages 86.1 across the index's benchmark suite.

Input
$18.24 / 1M
Output
$82.93 / 1M
Context
2,000,000
Avg score
86.1
Open weights
No
Full Gemini 3 Pro page
Alibaba Cloud

Qwen3-Max Max

Qwen3-Max Max is a frontier model from Alibaba Cloud. It offers a 400,000-token context window, costs $18.53 per million input tokens and $74.05 per million output tokens, and averages 85.9 across the index's benchmark suite.

Input
$18.53 / 1M
Output
$74.05 / 1M
Context
400,000
Avg score
85.9
Open weights
No
Full Qwen3-Max Max page

Specification comparison

SpecGemini 3 ProQwen3-Max MaxEdge
Input price / 1M$18.24$18.53A
Output price / 1M$82.93$74.05B
Context window2,000,000400,000A
Max output8,19265,536B
Average score86.185.9A
Arena Elo1460.71467.7B
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Pro wins 5, Qwen3-Max Max wins 6, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 ProQwen3-Max MaxGapWinner
MMLU-Pro88.285.23.0Gemini 3 Pro
GPQA Diamond79.083.84.8Qwen3-Max Max
SWE-bench Verified78.574.34.2Gemini 3 Pro
HumanEval91.890.21.6Gemini 3 Pro
MATH-50089.992.82.9Qwen3-Max Max
AIME 202584.382.71.6Gemini 3 Pro
LiveCodeBench83.382.80.5Gemini 3 Pro
IFEval93.793.70.0Tie
TruthfulQA88.889.30.5Qwen3-Max Max
HellaSwag91.391.40.1Qwen3-Max Max
MMMU78.678.90.3Qwen3-Max Max
Arena Elo1460.71467.77.0Qwen3-Max Max

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro costs about $34.41 per million tokens and Qwen3-Max Max costs about $32.41. Qwen3-Max Max is roughly 6% cheaper than Gemini 3 Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Gemini 3 Pro has the larger context window at 2,000,000 tokens, compared with 400,000 for Qwen3-Max Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Pro wins 5, Qwen3-Max Max wins 6, and 1 are tied. On the index average, Gemini 3 Pro leads Qwen3-Max Max by 0.2 points (86.1 versus 85.9).

The price picture favours Qwen3-Max Max. The context picture favours Gemini 3 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 Gemini 3 Pro for quality-sensitive work and Qwen3-Max Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Gemini 3 Pro if

  • You want the higher average benchmark score in this index.
  • You need the larger 2,000,000-token context window.

Choose Qwen3-Max Max if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 65,536-token output limit.

FAQ

Is Gemini 3 Pro better than Qwen3-Max Max?

On the index average, Gemini 3 Pro leads Qwen3-Max Max by 0.2 points (86.1 versus 85.9). The better choice depends on price, context and your task. Gemini 3 Pro wins 5 benchmarks, Qwen3-Max Max wins 6.

Which is cheaper, Gemini 3 Pro or Qwen3-Max Max?

Qwen3-Max Max is cheaper on a blended 3:1 basis at about $32.41 per million tokens, versus $34.41 for Gemini 3 Pro.

Which has the larger context window?

Gemini 3 Pro has the larger context window at 2,000,000 tokens. Qwen3-Max Max has 400,000 tokens.

Are these models open weights?

Gemini 3 Pro is proprietary; Qwen3-Max Max is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 3 Pro for quality-sensitive work and Qwen3-Max Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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