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qwen3-max vs gemini-3-pro-preview

Side-by-side comparison of qwen3-max and gemini-3-pro-preview: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3-pro-preview outperforms qwen3-max on 5 of 5 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
qwen3-max25.0%
gemini-3-pro-preview32.4%
Math Indexmath
qwen3-maxN/A
gemini-3-pro-preview95.7%
GPQA Diamondreasoning
qwen3-max86.1%
gemini-3-pro-preview90.8%
AIME 2025math
qwen3-maxN/A
gemini-3-pro-preview95.7%
LiveCodeBenchcoding
qwen3-maxN/A
gemini-3-pro-preview91.7%
Terminal-Bench Hardagentic
qwen3-max24.2%
gemini-3-pro-preview41.7%
τ²-Benchagentic
qwen3-max83.6%
gemini-3-pro-preview87.1%
MMLU Proknowledge
qwen3-maxN/A
gemini-3-pro-preview89.8%
Humanity's Last Examreasoning
qwen3-max28.0%
gemini-3-pro-preview39.7%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

qwen3-maxgemini-3-pro-preview
Input price / 1M$0.86$2.00
Output price / 1M$3.44$12.00
Context window262K tokens1.0M tokens
Max output66K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningN/AYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderAlibaba CloudGoogle LLC (Gemini API)

Questions people ask

Is qwen3-max better than gemini-3-pro-preview?
gemini-3-pro-preview outperforms qwen3-max on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: qwen3-max and gemini-3-pro-preview have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3-max or gemini-3-pro-preview?
qwen3-max is cheaper. qwen3-max costs $0.86/$3.44 per 1M input/output tokens, while gemini-3-pro-preview costs $2.00/$12.00.
Can I use qwen3-max and gemini-3-pro-preview through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "alibaba/qwen3-max" and "google/gemini-3-pro-preview", no other code changes needed.
What are the context windows?
qwen3-max supports up to 262K tokens of context. gemini-3-pro-preview supports up to 1.0M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between qwen3-max and gemini-3-pro-preview with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.