Head-to-head · frontier vs frontier

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

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

Google DeepMind

Gemini 3 Flash Max

Gemini 3 Flash Max is a frontier model from Google DeepMind. It offers a 1,000,000-token context window, costs $17.43 per million input tokens and $63.42 per million output tokens, and averages 85.0 across the index's benchmark suite.

Input
$17.43 / 1M
Output
$63.42 / 1M
Context
1,000,000
Avg score
85.0
Open weights
No
Full Gemini 3 Flash Max page
Alibaba Cloud

Qwen3-Max

Qwen3-Max is a frontier model from Alibaba Cloud. It offers a 400,000-token context window, costs $17.37 per million input tokens and $94.30 per million output tokens, and averages 84.4 across the index's benchmark suite.

Input
$17.37 / 1M
Output
$94.30 / 1M
Context
400,000
Avg score
84.4
Open weights
No
Full Qwen3-Max page

Specification comparison

SpecGemini 3 Flash MaxQwen3-MaxEdge
Input price / 1M$17.43$17.37B
Output price / 1M$63.42$94.30A
Context window1,000,000400,000A
Max output65,5364,096A
Average score85.084.4A
Arena Elo1448.51449.2B
Open weightsNoNoTie

Benchmark comparison

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

BenchmarkGemini 3 Flash MaxQwen3-MaxGapWinner
MMLU-Pro87.884.03.8Gemini 3 Flash Max
GPQA Diamond80.982.31.4Qwen3-Max
SWE-bench Verified73.873.30.5Gemini 3 Flash Max
HumanEval88.588.50.0Tie
MATH-50088.689.71.1Qwen3-Max
AIME 202586.781.15.6Gemini 3 Flash Max
LiveCodeBench78.382.23.9Qwen3-Max
IFEval91.392.51.2Qwen3-Max
TruthfulQA87.183.43.7Gemini 3 Flash Max
HellaSwag91.192.91.8Qwen3-Max
MMMU81.078.72.3Gemini 3 Flash Max
Arena Elo1448.51449.20.7Qwen3-Max

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Flash Max costs about $28.93 per million tokens and Qwen3-Max costs about $36.60. Gemini 3 Flash Max is roughly 21% cheaper than Qwen3-Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Gemini 3 Flash Max has the larger context window at 1,000,000 tokens, compared with 400,000 for Qwen3-Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Flash Max wins 5, Qwen3-Max wins 6, and 1 are tied. On the index average, Gemini 3 Flash Max leads Qwen3-Max by 0.6 points (85.0 versus 84.4).

The price picture favours Gemini 3 Flash Max. The context picture favours Gemini 3 Flash Max. 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 Flash Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Gemini 3 Flash Max if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 1,000,000-token context window.
  • You need the larger 65,536-token output limit.

Choose Qwen3-Max if

  • You prefer Alibaba Cloud's tooling or already use it.

FAQ

Is Gemini 3 Flash Max better than Qwen3-Max?

On the index average, Gemini 3 Flash Max leads Qwen3-Max by 0.6 points (85.0 versus 84.4). The better choice depends on price, context and your task. Gemini 3 Flash Max wins 5 benchmarks, Qwen3-Max wins 6.

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

Gemini 3 Flash Max is cheaper on a blended 3:1 basis at about $28.93 per million tokens, versus $36.60 for Qwen3-Max.

Which has the larger context window?

Gemini 3 Flash Max has the larger context window at 1,000,000 tokens. Qwen3-Max has 400,000 tokens.

Are these models open weights?

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

Which should I choose for production?

If you need a single default, start with Gemini 3 Flash Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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