ByteDance/Seed-2.0-pro vs gpt-5.6-sol
Side-by-side comparison of ByteDance/Seed-2.0-pro and gpt-5.6-sol: 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
gpt-5.6-sol
Input / 1M
$4.00
Output / 1M
$20.00
Context
1.1M
Model ID
openai/gpt-5.6-sol
Benchmark comparison
Intelligence Indexreasoning
ByteDance/Seed-2.0-proN/A
gpt-5.6-sol51.3%
Coding Indexcoding
ByteDance/Seed-2.0-proN/A
gpt-5.6-sol77.4%
GPQA Diamondreasoning
ByteDance/Seed-2.0-proN/A
gpt-5.6-sol94.1%
Terminal-Bench Hardagentic
ByteDance/Seed-2.0-proN/A
gpt-5.6-sol65.9%
τ²-Benchagentic
ByteDance/Seed-2.0-proN/A
gpt-5.6-sol85.1%
SciCodecoding
ByteDance/Seed-2.0-proN/A
gpt-5.6-sol57.1%
Humanity's Last Examreasoning
ByteDance/Seed-2.0-proN/A
gpt-5.6-sol49.5%
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 | gpt-5.6-sol | |
|---|---|---|
| Input price / 1M | $0.50 | $4.00 |
| Output price / 1M | $3.00 | $20.00 |
| Context window | 256K tokens | 1.1M tokens |
| Max output | N/A | 128K 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. | OpenAI Inc. |
Questions people ask
Is ByteDance/Seed-2.0-pro better than gpt-5.6-sol?
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 gpt-5.6-sol?
ByteDance/Seed-2.0-pro is cheaper. ByteDance/Seed-2.0-pro costs $0.50/$3.00 per 1M input/output tokens, while gpt-5.6-sol costs $4.00/$20.00.
Can I use ByteDance/Seed-2.0-pro and gpt-5.6-sol 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 "openai/gpt-5.6-sol", no other code changes needed.
What are the context windows?
ByteDance/Seed-2.0-pro supports up to 256K tokens of context. gpt-5.6-sol supports up to 1.1M 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 gpt-5.6-sol with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.