Head-to-head · frontier vs frontier

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

We compared Gemini 3 Flash Max and Qwen3-Max Turbo 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 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

SpecGemini 3 Flash MaxQwen3-Max TurboEdge
Input price / 1M$17.43$17.70A
Output price / 1M$63.42$63.95A
Context window1,000,0001,000,000Tie
Max output65,536128,000B
Average score85.084.7A
Arena Elo1448.51456.9B
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Flash Max wins 7, Qwen3-Max Turbo wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Flash MaxQwen3-Max TurboGapWinner
MMLU-Pro87.886.81.0Gemini 3 Flash Max
GPQA Diamond80.978.32.6Gemini 3 Flash Max
SWE-bench Verified73.875.92.1Qwen3-Max Turbo
HumanEval88.592.54.0Qwen3-Max Turbo
MATH-50088.691.93.3Qwen3-Max Turbo
AIME 202586.781.25.5Gemini 3 Flash Max
LiveCodeBench78.376.81.5Gemini 3 Flash Max
IFEval91.392.10.8Qwen3-Max Turbo
TruthfulQA87.186.30.8Gemini 3 Flash Max
HellaSwag91.190.80.3Gemini 3 Flash Max
MMMU81.078.82.2Gemini 3 Flash Max
Arena Elo1448.51456.98.4Qwen3-Max Turbo

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 Turbo costs about $29.26. Gemini 3 Flash Max is roughly 1% cheaper than Qwen3-Max Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Both models list a 1,000,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Flash Max wins 7, Qwen3-Max Turbo wins 5, and 0 are tied. On the index average, Gemini 3 Flash Max leads Qwen3-Max Turbo by 0.3 points (85.0 versus 84.7).

The price picture favours Gemini 3 Flash Max. The context picture is effectively a tie. 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.

Choose Qwen3-Max Turbo if

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

FAQ

Is Gemini 3 Flash Max better than Qwen3-Max Turbo?

On the index average, Gemini 3 Flash Max leads Qwen3-Max Turbo by 0.3 points (85.0 versus 84.7). The better choice depends on price, context and your task. Gemini 3 Flash Max wins 7 benchmarks, Qwen3-Max Turbo wins 5.

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

Gemini 3 Flash Max is cheaper on a blended 3:1 basis at about $28.93 per million tokens, versus $29.26 for Qwen3-Max Turbo.

Which has the larger context window?

Both models list a 1,000,000-token context window.

Are these models open weights?

Gemini 3 Flash Max is proprietary; Qwen3-Max Turbo 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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