Author's Description
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
OpenAI's GPT-3.5 Turbo, created on May 27, 2023, and trained on data up to September 2021, is positioned as a highly efficient and reliable AI model. It consistently performs among the fastest models, ranking in the 98th percentile for speed across benchmarks, with a notable duration of 47652ms in the Reasoning (Baseline) test. This speed aligns with its description as OpenAI's fastest model, optimized for chat and traditional completion tasks. In terms of cost, GPT-3.5 Turbo offers competitive pricing, placing in the 55th percentile, with a cost of $0.0121 for the Reasoning benchmark. A significant strength is its exceptional reliability, achieving a perfect 100th percentile, indicating minimal technical failures and consistent provision of evaluable responses. While excelling in speed, price, and reliability, its performance in complex reasoning tasks, as measured by the Reasoning (Baseline) benchmark, shows room for improvement with 48.0% accuracy, placing it in the 34th percentile. This suggests that while highly efficient and dependable, its advanced reasoning capabilities are not its primary strength.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.5 |
Completion | $1.5 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
OpenAI
|
OpenAI | openai/gpt-3.5-turbo | 16K | $0.5 / 1M tokens | $1.5 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
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Text input
Text output
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Text input
Text output
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Image input
File input
Text input
Text output
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★★★★ | ★ | +$$$$$ |
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Text input
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