qwen3.7-plus vs deepseek-v4-pro
Side-by-side comparison of qwen3.7-plus and deepseek-v4-pro: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v4-pro outperforms qwen3.7-plus on 4 of 7 shared benchmarks.
qwen3.7-plus
Input / 1M
$0.32
Output / 1M
$1.28
Context
1.0M
Model ID
alibaba/qwen3.7-plus
deepseek-v4-pro
Input / 1M
$0.43
Output / 1M
$0.87
Context
1M
Model ID
deepseek/deepseek-v4-pro
Benchmark comparison
Intelligence Indexreasoning
qwen3.7-plus53.3%
deepseek-v4-pro51.5%
Coding Indexcoding
qwen3.7-plus46.5%
deepseek-v4-pro47.5%
GPQA Diamondreasoning
qwen3.7-plus90.0%
deepseek-v4-pro88.8%
Terminal-Bench Hardagentic
qwen3.7-plus47.0%
deepseek-v4-pro46.2%
τ²-Benchagentic
qwen3.7-plus93.0%
deepseek-v4-pro96.2%
SciCodecoding
qwen3.7-plus45.5%
deepseek-v4-pro50.0%
Humanity's Last Examreasoning
qwen3.7-plus33.4%
deepseek-v4-pro35.9%
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
| qwen3.7-plus | deepseek-v4-pro | |
|---|---|---|
| Input price / 1M | $0.32 | $0.43 |
| Output price / 1M | $1.28 | $0.87 |
| Context window | 1.0M tokens | 1M tokens |
| Max output | 66K tokens | 384K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | N/A | N/A |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | DeepSeek |
Questions people ask
Is qwen3.7-plus better than deepseek-v4-pro?
deepseek-v4-pro outperforms qwen3.7-plus on 4 of 7 shared benchmarks. See the benchmark comparison above for specifics: qwen3.7-plus and deepseek-v4-pro have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3.7-plus or deepseek-v4-pro?
deepseek-v4-pro is cheaper. qwen3.7-plus costs $0.32/$1.28 per 1M input/output tokens, while deepseek-v4-pro costs $0.43/$0.87.
Can I use qwen3.7-plus and deepseek-v4-pro 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/qwen3.7-plus" and "deepseek/deepseek-v4-pro", no other code changes needed.
What are the context windows?
qwen3.7-plus supports up to 1.0M tokens of context. deepseek-v4-pro supports up to 1M 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 qwen3.7-plus and deepseek-v4-pro with one line of code
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