ByteDance/Seed-2.0-pro vs deepseek-v4-flash-0731
Side-by-side comparison of ByteDance/Seed-2.0-pro and deepseek-v4-flash-0731: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
ByteDance/Seed-2.0-pro
Input / 1M
$0.50
Output / 1M
$3.00
Context
256K
Model ID
deepinfra/ByteDance/Seed-2.0-pro
deepseek-v4-flash-0731
Input / 1M
$0.44
Output / 1M
$1.32
Context
1M
Model ID
deepseek/deepseek-v4-flash-0731
Benchmark comparison
Intelligence Indexreasoning
ByteDance/Seed-2.0-proN/A
deepseek-v4-flash-073140.8%
Coding Indexcoding
ByteDance/Seed-2.0-proN/A
deepseek-v4-flash-073169.1%
GPQA Diamondreasoning
ByteDance/Seed-2.0-proN/A
deepseek-v4-flash-073190.8%
SciCodecoding
ByteDance/Seed-2.0-proN/A
deepseek-v4-flash-073150.3%
Humanity's Last Examreasoning
ByteDance/Seed-2.0-proN/A
deepseek-v4-flash-073138.6%
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
| ByteDance/Seed-2.0-pro | deepseek-v4-flash-0731 | |
|---|---|---|
| Input price / 1M | $0.50 | $0.44 |
| Output price / 1M | $3.00 | $1.32 |
| Context window | 256K tokens | 1M tokens |
| Max output | N/A | 384K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | N/A |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | DeepInfra Inc. | DeepSeek |
Questions people ask
Is ByteDance/Seed-2.0-pro better than deepseek-v4-flash-0731?
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, ByteDance/Seed-2.0-pro or deepseek-v4-flash-0731?
deepseek-v4-flash-0731 is cheaper. ByteDance/Seed-2.0-pro costs $0.50/$3.00 per 1M input/output tokens, while deepseek-v4-flash-0731 costs $0.44/$1.32.
Can I use ByteDance/Seed-2.0-pro and deepseek-v4-flash-0731 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "deepinfra/ByteDance/Seed-2.0-pro" and "deepseek/deepseek-v4-flash-0731", no other code changes needed.
What are the context windows?
ByteDance/Seed-2.0-pro supports up to 256K tokens of context. deepseek-v4-flash-0731 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 ByteDance/Seed-2.0-pro and deepseek-v4-flash-0731 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.