ByteDance/Seed-2.0-pro vs gemini-3.7-flash
Side-by-side comparison of ByteDance/Seed-2.0-pro and gemini-3.7-flash: 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
gemini-3.7-flash
Input / 1M
$1.50$0.75
Output / 1M
$7.50$3.75
Context
1.0M
Model ID
vertex/gemini-3.7-flash
Benchmark comparison
Intelligence Indexreasoning
ByteDance/Seed-2.0-proN/A
gemini-3.7-flash45.2%
Coding Indexcoding
ByteDance/Seed-2.0-proN/A
gemini-3.7-flash76.1%
GPQA Diamondreasoning
ByteDance/Seed-2.0-proN/A
gemini-3.7-flash94.5%
SciCodecoding
ByteDance/Seed-2.0-proN/A
gemini-3.7-flash57.2%
Humanity's Last Examreasoning
ByteDance/Seed-2.0-proN/A
gemini-3.7-flash47.9%
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
| ByteDance/Seed-2.0-pro | gemini-3.7-flash | |
|---|---|---|
| Input price / 1M | $0.50 | $1.50$0.75 |
| Output price / 1M | $3.00 | $7.50$3.75 |
| Context window | 256K tokens | 1.0M tokens |
| Max output | N/A | 66K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | DeepInfra Inc. | Google LLC (Vertex AI) |
Questions people ask
Is ByteDance/Seed-2.0-pro better than gemini-3.7-flash?
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 gemini-3.7-flash?
ByteDance/Seed-2.0-pro is cheaper. ByteDance/Seed-2.0-pro costs $0.50/$3.00 per 1M input/output tokens, while gemini-3.7-flash costs $0.75/$3.75. The prices shown are what you pay: gemini-3.7-flash runs at 50% off its list rate of $1.50 per 1M input and $7.50 per 1M output.
Can I use ByteDance/Seed-2.0-pro and gemini-3.7-flash 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 "vertex/gemini-3.7-flash", no other code changes needed.
What are the context windows?
ByteDance/Seed-2.0-pro supports up to 256K tokens of context. gemini-3.7-flash supports up to 1.0M 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 gemini-3.7-flash with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.