OpenAI GPT-3.5-series language model, instruction-tuned via supervised fine-tuning (SFT). Launched 2022, shut down on 4 January 2024.
Context window
4K (4 097 tokenów)
tokens
Release date
15 March 2022
Access:APIDeployment:☁ Cloud
Overview
Applications
Access & deployment
API
Cloud
Weights: Closed
Key parameters
📏 Context: 4K (4 097 tokenów)
📥 Input: text
Technical specification
Context window
4K (4 097 tokenów)
tokens
Knowledge cutoff
1 Jun 2021
Knowledge boundary
License
Proprietary (OpenAI API, zamknięty / closed)
Hardware requirements
Available only via the OpenAI API (cloud). Closed weights — no local/self-hosted deployment.
Modalities
⬇ Input
text
⬆ Output
textcode
Capabilities and applications
Native model capabilities
Instruction following
Precisely following instructions contained in the prompt: response format, length, style, constraints (e.g. 'reply in six words'). GPT-5.1 significantly improved this capability compared to GPT-5.
Category: language
Language modeling
Ability to predict subsequent tokens and generate coherent natural-language text based on the preceding context.
Category: language
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Zero-shot learning
The model's ability to perform a new task without dataset-specific training or hyperparameter tuning — prediction is produced in a single pass from context.
Category: other
Few-shot learning
The model's ability to perform a new task from a handful of examples provided directly in the prompt, without any weight updates or fine-tuning.
Category: other
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Benchmark results
1 benchmark
GSM8K
accuracy · zero-shot chain-of-thought (Zero-shot-CoT)
40.7%%
📅 24 May 2022📄 paper
Zero-shot-CoT reached 40.7% vs 10.4% for plain zero-shot (Kojima et al., 2022).
