Doubao Pro vs Llama 3.2 11B Vision
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 Llama 3.2 11B Vision.
Doubao Pro
Doubao Pro (่ฑๅ 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.
Llama 3.2 11B Vision
Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.
Technical Specifications
| Specification | Doubao Pro | Llama 3.2 11B Vision |
|---|---|---|
| Provider | ByteDance | Meta |
| Context Window | 256,000 tokens | 131,072 tokens |
| Agent Suitability | 86/100 | 72/100 |
| Time to First Token (TTFT) | 300 ms | 150 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-15 | 2024-09-25 |
API Pricing Comparison
Input Price per Million Tokens
Doubao Pro
$0.80
Llama 3.2 11B Vision
$0.34
Output Price per Million Tokens
Doubao Pro
$1.60
Llama 3.2 11B Vision
$0.34
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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
- โธMassive user base โ one of the most deployed Chinese models in production
- โธAPI available through Volcano Engine โ requires Chinese enterprise registration
Llama 3.2 11B Vision Quirks & Gotchas
- โธLightweight vision model for edge/on-device deployments
- โธLimited tool calling โ use Llama 4 for production agentic tasks