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Yi-LargevsGPT-4o

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

GPT-4o leads 5/5 categories

Head-to-Head Comparison

MetricYi-LargeGPT-4o
Provider
Arena Rank
#2
Context Window
32K
128K
Input Pricing
Undisclosed/1M tokens
$2.50/1M tokens
Output Pricing
Undisclosed/1M tokens
$10.00/1M tokens
Parameters
Undisclosed
~200B (est.)
Open Source
No
No
Best For
Complex reasoning, multilingual, analysis
General purpose, coding, analysis
Release Date
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 →

GPT-4o

GPT-4o is OpenAI's flagship multimodal model, capable of processing text, images, and audio in a unified architecture. The 'o' stands for 'omni,' reflecting its ability to seamlessly handle multiple input types. With a 128K token context window and competitive pricing, it strikes an optimal balance between capability and cost-effectiveness. GPT-4o delivers fast response times while maintaining strong performance across coding, analysis, creative writing, and visual understanding tasks. It powers ChatGPT's default experience and is one of the most widely deployed AI models globally, serving millions of API calls daily. The model supports function calling, JSON mode, and structured outputs, making it highly versatile for production applications. Its combination of speed, quality, and multimodal capabilities makes it the go-to choice for most general-purpose AI applications.

View OpenAI profile →

Key Differences: Yi-Large vs GPT-4o

1

GPT-4o supports a larger context window (128K), allowing it to process longer documents in a single request.

Y

When to use Yi-Large

  • +Your use case involves complex reasoning, multilingual, analysis
View full Yi-Large specs →
G

When to use GPT-4o

  • +You need to process long documents (128K context)
  • +Your use case involves general purpose, coding, analysis
View full GPT-4o specs →

The Verdict

GPT-4o wins our head-to-head comparison with 5 out of 5 category wins. It's the stronger choice for general purpose, coding, analysis, though Yi-Large holds an edge in complex reasoning, multilingual, analysis.

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

Frequently Asked Questions

Which is better, Yi-Large or GPT-4o?
In our head-to-head comparison, GPT-4o leads in 5 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-4o excels at general purpose, coding, analysis, while Yi-Large is better suited for complex reasoning, multilingual, analysis. The best choice depends on your specific requirements, budget, and use case.
How does Yi-Large pricing compare to GPT-4o?
Yi-Large charges Undisclosed per 1M input tokens and Undisclosed per 1M output tokens. GPT-4o charges $2.50 per 1M input tokens and $10.00 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 GPT-4o?
Yi-Large supports a 32K token context window, while GPT-4o supports 128K tokens. GPT-4o 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 GPT-4o for free?
Yi-Large is a paid API model starting at Undisclosed per 1M input tokens. GPT-4o is a paid API model starting at $2.50 per 1M input tokens.
Which model has better benchmarks, Yi-Large or GPT-4o?
Yi-Large's arena rank is not yet available, while GPT-4o holds rank #2. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Yi-Large or GPT-4o better for coding?
Yi-Large's primary strength is complex reasoning, multilingual, analysis. GPT-4o is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.