GPT-3.5 Turbo
GPT-3.5 Turbo is OpenAI's legacy fast and affordable chat model, optimized for dialogue and straightforward text tasks at low cost. It was the backbone of early ChatGPT and remains a go-to for high-volume, cost-sensitive deployments.
OpenAI's fastest, cheapest option for everyday high-volume tasks.
High-volume everyday tasks where GPT-4o quality is overkill
You need strong reasoning or coding — GPT-5.2 Mini or DeepSeek V3 are better at similar or lower cost.
Compare every model's knowledge cutoff, max output, and context window.
GPT-4o Mini punches well above its price for classification, summarisation, and simple writing. It struggles when tasks get complex.
Extremely low cost at $0.15/1M input — among the cheapest OpenAI models
Very fast response times suitable for interactive user-facing apps
Strong enough for most writing, summarisation, and classification tasks
Noticeably weaker than GPT-5.2 Mini on complex reasoning and multi-step tasks
Not suitable for hard coding challenges or deep document research
DeepSeek V3 now offers better coding quality at comparable pricing
What people actually use GPT-4o Mini for.
Customer support and classification pipelines where speed and low cost matter more than frontier quality
Content drafting, summarisation, and editing at scale
Lightweight coding assistance and code explanation for simpler tasks
The nearest models people weigh against it, and what actually separates them.
vs GPT-3.5 Turbo — Against GPT-3.5 Turbo (OpenAI), GPT-4o Mini runs about 63% cheaper per token and takes 7.8x the context. Take GPT-4o Mini unless you specifically need what GPT-3.5 Turbo does better.
vs GPT-3.5 Turbo (older v0613) — Against GPT-3.5 Turbo (older v0613) (OpenAI), GPT-4o Mini runs about 75% cheaper per token and takes 31.3x the context. Take GPT-4o Mini unless you specifically need what GPT-3.5 Turbo (older v0613) does better.
vs GPT-3.5 Turbo Instruct — Against GPT-3.5 Turbo Instruct (OpenAI), GPT-4o Mini runs about 79% cheaper per token and takes 31.3x the context. Take GPT-4o Mini unless you specifically need what GPT-3.5 Turbo Instruct does better.
Price History
→0% since Jun 12
90 data points · tracked daily since Jun 12, 2026
High-volume everyday tasks where GPT-4o quality is overkill. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
GPT-3.5 Turbo is OpenAI's legacy fast and affordable chat model, optimized for dialogue and straightforward text tasks at low cost. It was the backbone of early ChatGPT and remains a go-to for high-volume, cost-sensitive deployments.
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.
GPT-3.5 Turbo Instruct is a legacy completion-style model from OpenAI, designed for instruction-following tasks using the older text completion API rather than the chat API. It excels at structured text generation, fill-in-the-middle tasks, and traditional NLP workflows that predate the chat paradigm.
GPT-4o Mini costs $0.15 per million input tokens and $0.6 per million output tokens on the API, with cached input at $0.075 per million. A month of 10M input and 2M output tokens runs about $2.70 at list price, before any batch or caching discounts.
GPT-4o Mini has a 128k tokens context window, with up to 16k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
GPT-4o Mini's training data runs through September 2023, and the model was released on July 18, 2024. For anything after that date it needs web search or documents in the prompt.
GPT-4o Mini is best for high-volume everyday tasks where gpt-4o quality is overkill. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need strong reasoning or coding — GPT-5.2 Mini or DeepSeek V3 are better at similar or lower cost.
Claude Opus 4.5 (Anthropic) at $5.00/1M/1M input against GPT-4o Mini's $0.15/1M/1M. Anthropic's most capable model delivers best-in-class reasoning and writing quality, but the steep output cost demands genuinely complex use cases to justify it. Compare it first if GPT-4o Mini's pricing is the thing stopping you.
GPT-3.5 Turbo — very fast against GPT-4o Mini's very fast, with 16k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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