← Back to Models
⚖️

GPT-3.5 TurbovsGPT-4o

OpenAI vs OpenAI — Side-by-side model comparison

GPT-4o leads 3/5 categories

Head-to-Head Comparison

MetricGPT-3.5 TurboGPT-4o
Provider
Arena Rank
#25
#2
Context Window
16K
128K
Input Pricing
$0.50/1M tokens
$2.50/1M tokens
Output Pricing
$1.50/1M tokens
$10.00/1M tokens
Parameters
Undisclosed
~200B (est.)
Open Source
No
No
Best For
Fast responses, chatbots, simple tasks
General purpose, coding, analysis
Release Date
Nov 6, 2023

GPT-3.5 Turbo

GPT-3.5 Turbo is OpenAI's most cost-effective and fastest model, designed for high-volume applications where speed and affordability matter more than peak reasoning ability. With a 16K context window, it handles most conversational and text-generation tasks efficiently. It remains one of the most widely deployed language models globally, powering millions of chatbots, customer service agents, and content generation tools due to its excellent balance of capability, speed, and cost.

View OpenAI 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: GPT-3.5 Turbo vs GPT-4o

1

GPT-4o ranks higher in arena benchmarks (#2) indicating stronger overall performance.

2

GPT-3.5 Turbo is 6.3x cheaper on average, making it the better choice for high-volume applications.

3

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

G

When to use GPT-3.5 Turbo

  • +Budget is a concern and you need cost efficiency
  • +Your use case involves fast responses, chatbots, simple tasks
View full GPT-3.5 Turbo specs →
G

When to use GPT-4o

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You need to process long documents (128K context)
  • +Your use case involves general purpose, coding, analysis
View full GPT-4o specs →

Cost Analysis

At current pricing, GPT-3.5 Turbo is 6.3x more affordable than GPT-4o. For a typical enterprise workload processing 100M tokens per month:

GPT-3.5 Turbo monthly cost

$100

100M tokens/mo (50/50 in/out)

GPT-4o monthly cost

$625

100M tokens/mo (50/50 in/out)

The Verdict

GPT-4o wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for general purpose, coding, analysis, though GPT-3.5 Turbo holds an edge in fast responses, chatbots, simple tasks. If cost is your primary concern, GPT-3.5 Turbo offers better value.

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

Frequently Asked Questions

Which is better, GPT-3.5 Turbo or GPT-4o?
In our head-to-head comparison, GPT-4o leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-4o excels at general purpose, coding, analysis, while GPT-3.5 Turbo is better suited for fast responses, chatbots, simple tasks. The best choice depends on your specific requirements, budget, and use case.
How does GPT-3.5 Turbo pricing compare to GPT-4o?
GPT-3.5 Turbo charges $0.50 per 1M input tokens and $1.50 per 1M output tokens. GPT-4o charges $2.50 per 1M input tokens and $10.00 per 1M output tokens. GPT-3.5 Turbo is the more affordable option, approximately 6.3x cheaper on average. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between GPT-3.5 Turbo and GPT-4o?
GPT-3.5 Turbo supports a 16K 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 GPT-3.5 Turbo or GPT-4o for free?
GPT-3.5 Turbo is a paid API model starting at $0.50 per 1M input tokens. GPT-4o is a paid API model starting at $2.50 per 1M input tokens.
Which model has better benchmarks, GPT-3.5 Turbo or GPT-4o?
GPT-3.5 Turbo holds arena rank #25, while GPT-4o holds rank #2. GPT-4o performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is GPT-3.5 Turbo or GPT-4o better for coding?
GPT-3.5 Turbo's primary strength is fast responses, chatbots, simple tasks. GPT-4o is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.