A once-dominant budget model now outclassed by cheaper, smarter alternatives like GPT-4o mini.
High-volume, low-complexity tasks like chatbots, classification, summarization, and simple Q&A where cost matters more than cutting-edge quality.
Extremely low cost at $0.50/$1.50 per million tokens, undercutting most modern competitors
Very fast inference speed, suitable for real-time applications and large batch jobs
Reliable for simple instruction-following, FAQ bots, and form-filling tasks
Massive community adoption means abundant fine-tuning resources and documentation
Significantly lags behind GPT-4o, Claude Sonnet 4.6, and Gemini 3.1 Pro on complex reasoning, nuanced writing, and multi-step tasks
See what OpenAI: GPT-3.5 Turbo actually costs at your usage level
Based on OpenAI: GPT-3.5 Turbo API pricing: $0.5/1M input · $1.5/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since May 9
4 data points · tracked daily since May 9, 2026
High-volume, low-complexity tasks like chatbots, classification, summarization, and simple Q&A where cost matters more than cutting-edge quality.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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OpenAI's most affordable production-grade model — faster and cheaper than GPT-4o with strong enough performance for the majority of everyday tasks.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-3.5 Turbo (OpenAI) is now indexed. A once-dominant budget model now outclassed by cheaper, smarter alternatives like GPT-4o mini.
View modelOpenAI: GPT-3.5 Turbo is best for high-volume, low-complexity tasks like chatbots, classification, summarization, and simple q&a where cost matters more than cutting-edge quality.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need strong reasoning, long document handling, code generation beyond simple snippets, or high accuracy on factual tasks — modern budget alternatives like GPT-4o mini outperform it at similar cost.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
GPT-4o Mini is the better pick when response time matters more than maximum depth or premium quality.
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You need strong reasoning, long document handling, code generation beyond simple snippets, or high accuracy on factual tasks — modern budget alternatives like GPT-4o mini outperform it at similar cost.
16K context window is limiting compared to modern models offering 128K–1M tokens
Prone to hallucinations and instruction drift on longer or more complex prompts
Lower-cost OpenAI model that keeps a solid balance of usefulness, speed, and affordability for everyday tasks.
An older versioned snapshot of GPT-3.5 Turbo (v0613), OpenAI's once-dominant mid-tier language model optimized for fast chat completions and instruction following. This specific checkpoint is frozen in time, predating later capability improvements introduced in subsequent GPT-3.5 Turbo updates.
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