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Yi-LargevsYi-1.5 34B

01.AI vs 01.AI — Side-by-side model comparison

Tied — both models win in equal categories

Head-to-Head Comparison

MetricYi-LargeYi-1.5 34B
Provider
Arena Rank
Context Window
32K
4K
Input Pricing
Undisclosed/1M tokens
Free (open)/1M tokens
Output Pricing
Undisclosed/1M tokens
Free (open)/1M tokens
Parameters
Undisclosed
34B
Open Source
No
Yes
Best For
Complex reasoning, multilingual, analysis
Bilingual tasks, fine-tuning, research
Release Date
May 13, 2024
May 13, 2024

Yi-Large

Yi-Large, developed by 01.AI, is the most powerful model from Kai-Fu Lee's AI company, designed with particular strength in Chinese and English bilingual tasks. The model features a 32K token context window and demonstrates competitive performance on general reasoning, coding, and knowledge-intensive benchmarks. 01.AI built Yi-Large to excel at practical enterprise applications with attention to Chinese language understanding, cultural context, and business use cases prevalent in the Chinese market. The model handles complex Chinese text including classical Chinese, technical documentation, and cross-lingual tasks. 01.AI, founded by the former president of Google China, has rapidly built one of the most well-funded AI companies in China. Yi-Large competes in the Chinese enterprise AI market alongside Qwen, Ernie, GLM, and Baichuan for commercial deployments.

View 01.AI profile →

Yi-1.5 34B

Yi-1.5 34B, developed by 01.AI, is an open-source model with 34 billion parameters and a 4K token context window delivering strong bilingual Chinese-English performance. The model handles general reasoning, content generation, and knowledge tasks competently, with particular attention to Chinese language understanding. Trained on a diverse multilingual corpus, Yi-1.5 34B performs well on both Chinese and English benchmarks while remaining deployable on standard enterprise GPU hardware. Free and open-source, it supports fine-tuning for domain-specific applications in Chinese enterprise environments. The model represents 01.AI's contribution to the open-source AI community, providing a capable bilingual foundation that researchers and developers can build upon. Yi-1.5 34B occupies a practical middle ground between smaller models and frontier-scale systems for organizations needing Chinese-English AI capabilities.

View 01.AI profile →

Key Differences: Yi-Large vs Yi-1.5 34B

1

Yi-Large supports a larger context window (32K), allowing it to process longer documents in a single request.

2

Yi-1.5 34B is open-source (free to self-host and fine-tune) while Yi-Large is proprietary (API-only access).

Y

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
View full Yi-Large specs →
Y

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
View full Yi-1.5 34B specs →

The Verdict

This is a close matchup. Yi-Large and Yi-1.5 34B each win in different categories, making the choice highly dependent on your use case. Choose Yi-Large for complex reasoning, multilingual, analysis. Choose Yi-1.5 34B for bilingual tasks, fine-tuning, research.

Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Yi-Large or Yi-1.5 34B?
Yi-Large and Yi-1.5 34B are closely matched, each winning in different categories. Yi-Large excels at complex reasoning, multilingual, analysis, while Yi-1.5 34B is optimized for bilingual tasks, fine-tuning, research. We recommend testing both for your specific use case.
How does Yi-Large pricing compare to Yi-1.5 34B?
Yi-Large charges Undisclosed per 1M input tokens and Undisclosed per 1M output tokens. Yi-1.5 34B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Yi-Large and Yi-1.5 34B?
Yi-Large supports a 32K token context window, while Yi-1.5 34B supports 4K tokens. Yi-Large can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Yi-Large or Yi-1.5 34B for free?
Yi-Large is a paid API model starting at Undisclosed per 1M input tokens. Yi-1.5 34B is a paid API model starting at Free (open) per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Yi-Large or Yi-1.5 34B?
Yi-Large's arena rank is not yet available, while Yi-1.5 34B's rank is not yet available. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Yi-Large or Yi-1.5 34B better for coding?
Yi-Large's primary strength is complex reasoning, multilingual, analysis. Yi-1.5 34B's primary strength is bilingual tasks, fine-tuning, research. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.