Yi-1.5 34BvsYi-Large
01.AI vs 01.AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Yi-1.5 34B | Yi-Large |
|---|---|---|
| Provider | ||
| Arena Rank | — | — |
| Context Window | 4K | 32K |
| Input Pricing | Free (open)/1M tokens | Undisclosed/1M tokens |
| Output Pricing | Free (open)/1M tokens | Undisclosed/1M tokens |
| Parameters | 34B | Undisclosed |
| Open Source | Yes | No |
| Best For | Bilingual tasks, fine-tuning, research | Complex reasoning, multilingual, analysis |
| Release Date | May 13, 2024 | May 13, 2024 |
Yi-1.5 34B
Yi-1.5 34B is 01.AI's open-source model that delivers impressive performance for its size, particularly on bilingual Chinese-English tasks. At 34 billion parameters, it offers a strong foundation for fine-tuning and custom deployments. The Yi series has been influential in demonstrating that high-quality training data and methods can produce competitive models without requiring the largest compute budgets.
View 01.AI profile →Yi-Large
Yi-Large is 01.AI's most capable model, founded by AI pioneer Kai-Fu Lee. It delivers strong performance across reasoning, coding, and multilingual tasks, competing with leading global models. Yi-Large is particularly strong on Chinese-English bilingual tasks and has been adopted by numerous enterprises in Asia for production deployments requiring high-quality language understanding.
View 01.AI profile →Key Differences: Yi-1.5 34B vs Yi-Large
Yi-Large supports a larger context window (32K), allowing it to process longer documents in a single request.
Yi-1.5 34B is open-source (free to self-host and fine-tune) while Yi-Large is proprietary (API-only access).
When to use Yi-1.5 34B
- +You need to self-host or fine-tune the model
- +Your use case involves bilingual tasks, fine-tuning, research
When to use Yi-Large
- +You need to process long documents (32K context)
- +You prefer a managed API without infrastructure overhead
- +Your use case involves complex reasoning, multilingual, analysis
The Verdict
This is a close matchup. Yi-1.5 34B and Yi-Large each win in different categories, making the choice highly dependent on your use case. Choose Yi-1.5 34B for bilingual tasks, fine-tuning, research. Choose Yi-Large for complex reasoning, multilingual, analysis.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages