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.
Tested on 19 benchmarks · BenchGecko score 43.8. Top scores: TriviaQA (85.8%), ARC AI2 (83.2%), OpenBookQA (81.3%).
Gemini 2.0 Flash scores 44.4 (101% as good) at $0.10/1M input · 90% cheaper
Code editing benchmark from the Aider project. Measures ability to apply targeted code changes while maintaining correctness and style.
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
BIG-Bench Hard. 23 challenging tasks from BIG-Bench where prior language models fell below average human performance.
Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.
Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
- Typetext
- Context4K tokens (~2 books)
- ReleasedJan 2024
- LicenseProprietary
- StatusActive
- Cost / Message~$0.004
Frequently Asked Questions
Key facts · as of 2026-10-05
- GPT-3.5 Turbo (older v0613) by OpenAI. BenchGecko score 43.8, rank 179 of 312 scored models (normalized average of public benchmark scores).
- List price $1.00 input · $2.00 output per 1M tokens (as of 2026-10-05).
- Sold by 1 provider (as of 2026-10-05): Azure $1.00 in / $2.00 out.
How to cite · data as of 2026-10-05
GPT-3.5 Turbo (older v0613) · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gpt-3-5-turbo-0613
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP