Doubao Pro vs GPT-5.5
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Doubao Pro and GPT-5.5.
Doubao Pro
Doubao Pro (豆包 Pro) is ByteDance's flagship large language model, powering the Doubao AI assistant used by over 100 million monthly active users in China. Built by ByteDance's Seed team, Doubao Pro achieves top-tier results on Chinese-language benchmarks, excelling at long-context understanding, multimodal reasoning, and creative writing. Its architecture is optimized for the massive scale of ByteDance's inference infrastructure, enabling cost-efficient deployment across Douyin, TikTok, and enterprise API customers via Volcano Engine.
GPT-5.5
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
Technical Specifications
| Specification | Doubao Pro | GPT-5.5 |
|---|---|---|
| Provider | ByteDance | OpenAI |
| Context Window | 256,000 tokens | 1,050,000 tokens |
| Agent Suitability | 86/100 | 95/100 |
| Time to First Token (TTFT) | 300 ms | 380 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-15 | 2026-04-24 |
API Pricing Comparison
Input Price per Million Tokens
Doubao Pro
$0.80
GPT-5.5
$5.00
Output Price per Million Tokens
Doubao Pro
$1.60
GPT-5.5
$30.00
Want to test both models live?
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Doubao Pro Quirks & Gotchas
- ▸Massive user base — one of the most deployed Chinese models in production
- ▸API available through Volcano Engine — requires Chinese enterprise registration
GPT-5.5 Quirks & Gotchas
- ▸Best for JSON schema adherence — strict mode available via response_format parameter
- ▸Requires explicit tool_choice for deterministic function calling