OpenAI • LLM
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Context Window
16K tokens
Input Price/1M
$3.00
Output Price/1M
$4.00
Parameters
—
Max Output
4K tokens
OpenAI: GPT-3.5 Turbo 16k is an AI model developed by OpenAI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via OpenAI's cloud API. With a context window of 16K tokens, it is suitable for processing short documents and direct prompts.
OpenAI: GPT-3.5 Turbo 16k is usage-based, priced at $3/1M input tokens and $4/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
We don't have detailed benchmark results for OpenAI: GPT-3.5 Turbo 16k yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
OpenAI: GPT-3.5 Turbo 16k is suitable for a wide range of AI applications: automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, OpenAI: GPT-3.5 Turbo 16k competes directly with similarly capable models. Key competitors include Claude (Anthropic), Gemini (Google), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
OpenAI: GPT-3.5 Turbo 16k costs $3/1M input tokens and $4/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
We don't have detailed benchmarks for OpenAI: GPT-3.5 Turbo 16k yet. Check the main benchmark page to compare available models.
No, OpenAI: GPT-3.5 Turbo 16k is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
OpenAI: GPT-3.5 Turbo 16k excels at general-purpose language tasks. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →