GPT-3.5 Turbo
GPT-3.5 Turbo is a legacy integration reference; evaluate GPT-4.1 Mini before starting new work.
Use it for
- Teams maintaining an existing integration
- Workloads that can use a 16k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- New production launches
- Vision or document-understanding workloads
- Family
- GPT-3.5
- Released
- 2023-03-01
- Context
- 16k
- Parameters
- 20B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2021-09
- Specialization
- general
- License
- Proprietary
- Training
- finetuned
Cheapest of 6 routes · Azure OpenAI
This model is deprecated. OpenAI recommends switching to GPT-4.1 Mini.
About
GPT-3.5 Turbo is an advanced language model developed by OpenAI, showcasing significant advancements over GPT-3 and GPT-3.5. As the engine behind the popular ChatGPT application, it excels in tasks like text generation, translation, question answering, summarization, and code generation. This model employs Reinforcement Learning from Human Feedback (RLHF) to enhance accuracy and produce policy-optimized responses. Despite its prowess, it has a knowledge cutoff of September 2021 and can demonstrate biases from its training data. Occasionally, it may generate incorrect or nonsensical content, known as "hallucination," and is sensitive to input phrasing variations. Additionally, the free version may experience slowdowns due to high demand. Nevertheless, GPT-3.5 Turbo remains a powerful tool with versatile applications across numerous fields.
GPT-3.5 Turbo is a proprietary model in the GPT-3.5 family. The structured metadata tracks a 16k-token context window and structured outputs. This page tracks provider routes through Azure OpenAI, OpenAI API, Salesforce Einstein Generative AI, and 3 more, with the cheapest tracked route listed at $0.5 input and $1.5 output per 1M tokens. Headline tracked benchmarks include HumanEval 67.0, Massive Multitask Language Understanding 70.0, and GAOKAO 53.2.
Top use-case fit: coding, agents, and build tasks
Coding
1 relevant benchmark in the decision map.
Classification
1 relevant benchmark in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 6Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Route |
|---|---|---|---|---|
| Azure OpenAI | $0.500 | $1.50 | - | Serverless |
| OpenAI API | $0.500 | $1.50 | $0.250 / $0.750 | Serverless |
| OpenRouter | $0.500 | $1.50 | - | Serverless |
| Replicate API | $0.500 | $1.50 | - | Serverless |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(3)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| HumanEval | 67.0 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 70.0 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| GAOKAO | 53.2 | zero-shot, objective-accuracy | https://github.com/OpenLMLab/GAOKAO-Bench |
Migration checks
No linked migration route is available for this model yet.
API versions
gpt-3.5-turbo-0301gpt-3.5-turbo-0613gpt-3.5-turbo-1106gpt-3.5-turbo-0125gpt-3.5-turbo