qwen3.7-max vs ByteDance/Seed-2.0-pro
Side-by-side comparison of qwen3.7-max and ByteDance/Seed-2.0-pro: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
qwen3.7-max
Input / 1M
$2.50
Output / 1M
$7.50
Context
1.0M
Model ID
alibaba/qwen3.7-max
ByteDance/Seed-2.0-pro
Input / 1M
$0.50
Output / 1M
$3.00
Context
256K
Model ID
deepinfra/ByteDance/Seed-2.0-pro
Benchmark comparison
Intelligence Indexreasoning
qwen3.7-max36.6%
ByteDance/Seed-2.0-proN/A
Coding Indexcoding
qwen3.7-max66.0%
ByteDance/Seed-2.0-proN/A
GPQA Diamondreasoning
qwen3.7-max92.3%
ByteDance/Seed-2.0-proN/A
Terminal-Bench Hardagentic
qwen3.7-max50.8%
ByteDance/Seed-2.0-proN/A
τ²-Benchagentic
qwen3.7-max94.7%
ByteDance/Seed-2.0-proN/A
SciCodecoding
qwen3.7-max49.5%
ByteDance/Seed-2.0-proN/A
Humanity's Last Examreasoning
qwen3.7-max40.5%
ByteDance/Seed-2.0-proN/A
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-max | ByteDance/Seed-2.0-pro | |
|---|---|---|
| Input price / 1M | $2.50 | $0.50 |
| Output price / 1M | $7.50 | $3.00 |
| Context window | 1.0M tokens | 256K tokens |
| Max output | 131K tokens | N/A |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | DeepInfra Inc. |
Questions people ask
Is qwen3.7-max better than ByteDance/Seed-2.0-pro?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, qwen3.7-max or ByteDance/Seed-2.0-pro?
ByteDance/Seed-2.0-pro is cheaper. qwen3.7-max costs $2.50/$7.50 per 1M input/output tokens, while ByteDance/Seed-2.0-pro costs $0.50/$3.00.
Can I use qwen3.7-max and ByteDance/Seed-2.0-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-max" and "deepinfra/ByteDance/Seed-2.0-pro", no other code changes needed.
What are the context windows?
qwen3.7-max supports up to 1.0M tokens of context. ByteDance/Seed-2.0-pro supports up to 256K 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-max and ByteDance/Seed-2.0-pro with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.