Specifications
Context Window
—
Input Price/1M
$0.50
Output Price/1M
$1.50
Parameters
—
Speed
150 tok/s
Latency (TTFT)
525ms
Benchmarks
GPT-3.5 Turbo results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 10.7 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 46.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 44.1 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 9.0 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 46.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 30.0 | 100.0 | Artificial Analysis official API |
Information
- Release date
- November 30, 2022
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: GPT-3.5 Turbo
What is GPT-3.5 Turbo?
GPT-3.5 Turbo is an AI model developed by OpenAI, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via OpenAI's cloud API.
Pricing & Costs in 2026
GPT-3.5 Turbo is usage-based, priced at $0.5/1M input tokens and $1.5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
GPT-3.5 Turbo was evaluated on 6 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show moderate performance across available evaluations.
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.
Recommended Use Cases
GPT-3.5 Turbo specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, GPT-3.5 Turbo 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.
Frequently Asked Questions
What is GPT-3.5 Turbo?
GPT-3.5 Turbo is an AI model developed by OpenAI. It is a text model.
How much does GPT-3.5 Turbo cost?
GPT-3.5 Turbo costs $0.5/1M input tokens and $1.5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does GPT-3.5 Turbo compare with other models?
In available benchmarks, GPT-3.5 Turbo scored: AA Coding Index: 10.7/100, MMLU-Pro: 46/100, MATH-500: 44.1/100. See the full table above for a detailed comparison.
Is GPT-3.5 Turbo open source?
No, GPT-3.5 Turbo is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is GPT-3.5 Turbo best for?
GPT-3.5 Turbo excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →