Requesty

ByteDance/Seed-2.0-pro vs gemini-2.5-pro

Side-by-side comparison of ByteDance/Seed-2.0-pro and gemini-2.5-pro: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

Intelligence Indexreasoning
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro19.0%
Coding Indexcoding
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro33.3%
Math Indexmath
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro87.7%
GPQA Diamondreasoning
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro84.4%
AIME 2025math
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro87.7%
LiveCodeBenchcoding
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro80.1%
Terminal-Bench Hardagentic
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro26.5%
τ²-Benchagentic
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro54.1%
MMLU Proknowledge
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro86.2%
Humanity's Last Examreasoning
ByteDance/Seed-2.0-proN/A
gemini-2.5-pro22.5%

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-progemini-2.5-pro
Input price / 1M$0.50$1.25
Output price / 1M$3.00$10.00
Context window256K tokens1.0M tokens
Max outputN/A66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderDeepInfra Inc.Google LLC (Gemini API)

Questions people ask

Is ByteDance/Seed-2.0-pro better than gemini-2.5-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, ByteDance/Seed-2.0-pro or gemini-2.5-pro?
ByteDance/Seed-2.0-pro is cheaper. ByteDance/Seed-2.0-pro costs $0.50/$3.00 per 1M input/output tokens, while gemini-2.5-pro costs $1.25/$10.00.
Can I use ByteDance/Seed-2.0-pro and gemini-2.5-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 "deepinfra/ByteDance/Seed-2.0-pro" and "google/gemini-2.5-pro", no other code changes needed.
What are the context windows?
ByteDance/Seed-2.0-pro supports up to 256K tokens of context. gemini-2.5-pro 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-2.5-pro with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.