qwen3-max vs deepseek-v3.2
Side-by-side comparison of qwen3-max and deepseek-v3.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v3.2 outperforms qwen3-max on 3 of 5 shared benchmarks.
qwen3-max
Input / 1M
$0.86
Output / 1M
$3.44
Context
262K
Model ID
alibaba/qwen3-max
deepseek-v3.2
Input / 1M
$0.56
Output / 1M
$1.68
Context
164K
Model ID
vertex/deepseek-v3.2
Benchmark comparison
Intelligence Indexreasoning
qwen3-max25.0%
deepseek-v3.225.3%
Coding Indexcoding
qwen3-maxN/A
deepseek-v3.244.2%
Math Indexmath
qwen3-maxN/A
deepseek-v3.292.0%
GPQA Diamondreasoning
qwen3-max86.1%
deepseek-v3.284.0%
AIME 2025math
qwen3-maxN/A
deepseek-v3.292.0%
LiveCodeBenchcoding
qwen3-maxN/A
deepseek-v3.286.2%
Terminal-Bench Hardagentic
qwen3-max24.2%
deepseek-v3.235.6%
τ²-Benchagentic
qwen3-max83.6%
deepseek-v3.290.6%
MMLU Proknowledge
qwen3-maxN/A
deepseek-v3.286.2%
Humanity's Last Examreasoning
qwen3-max28.0%
deepseek-v3.224.6%
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 | deepseek-v3.2 | |
|---|---|---|
| Input price / 1M | $0.86 | $0.56 |
| Output price / 1M | $3.44 | $1.68 |
| Context window | 262K tokens | 164K tokens |
| Max output | 66K tokens | 66K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | Google LLC (Vertex AI) |
Questions people ask
Is qwen3-max better than deepseek-v3.2?
deepseek-v3.2 outperforms qwen3-max on 3 of 5 shared benchmarks. See the benchmark comparison above for specifics: qwen3-max and deepseek-v3.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3-max or deepseek-v3.2?
deepseek-v3.2 is cheaper. qwen3-max costs $0.86/$3.44 per 1M input/output tokens, while deepseek-v3.2 costs $0.56/$1.68.
Can I use qwen3-max and deepseek-v3.2 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 "vertex/deepseek-v3.2", no other code changes needed.
What are the context windows?
qwen3-max supports up to 262K tokens of context. deepseek-v3.2 supports up to 164K 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 deepseek-v3.2 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.