qwen3-max vs gpt-5.2
Side-by-side comparison of qwen3-max and gpt-5.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.2 outperforms qwen3-max on 7 of 7 shared benchmarks.
qwen3-max
Input / 1M
$0.86
Output / 1M
$3.44
Context
262K
Model ID
alibaba/qwen3-max
gpt-5.2
Input / 1M
$1.75
Output / 1M
$14.00
Context
400K
Model ID
openai/gpt-5.2
Benchmark comparison
Intelligence Indexreasoning
qwen3-max39.8%
gpt-5.251.3%
Coding Indexcoding
qwen3-max30.5%
gpt-5.248.7%
Math Indexmath
qwen3-maxN/A
gpt-5.299.0%
GPQA Diamondreasoning
qwen3-max86.1%
gpt-5.290.3%
AIME 2025math
qwen3-maxN/A
gpt-5.299.0%
LiveCodeBenchcoding
qwen3-maxN/A
gpt-5.288.9%
Terminal-Bench Hardagentic
qwen3-max24.2%
gpt-5.247.0%
τ²-Benchagentic
qwen3-max83.6%
gpt-5.284.8%
SciCodecoding
qwen3-max43.1%
gpt-5.252.1%
MMLU Proknowledge
qwen3-maxN/A
gpt-5.287.4%
Humanity's Last Examreasoning
qwen3-max26.2%
gpt-5.235.4%
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-max | gpt-5.2 | |
|---|---|---|
| Input price / 1M | $0.86 | $1.75 |
| Output price / 1M | $3.44 | $14.00 |
| Context window | 262K tokens | 400K tokens |
| Max output | 66K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | OpenAI Inc. |
Questions people ask
Is qwen3-max better than gpt-5.2?
gpt-5.2 outperforms qwen3-max on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: qwen3-max and gpt-5.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3-max or gpt-5.2?
qwen3-max is cheaper. qwen3-max costs $0.86/$3.44 per 1M input/output tokens, while gpt-5.2 costs $1.75/$14.00.
Can I use qwen3-max and gpt-5.2 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 "openai/gpt-5.2", no other code changes needed.
What are the context windows?
qwen3-max supports up to 262K tokens of context. gpt-5.2 supports up to 400K 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 gpt-5.2 with one line of code
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