GPT-4o mini
Agile, cost-efficient 4o variant ideal for everyday conversation.
You always get the exact model you pick — we never silently route you to another.
About GPT-4o mini
At $0.15 per million input tokens, GPT-4o mini occupies a sweet spot that the frontier models simply cannot match on cost — more than 60% cheaper than its predecessor GPT-3.5 Turbo while outperforming it across the board. It earned that reputation because the benchmarks back it up: 87.2% on HumanEval makes it a capable coding assistant, and its 128K context window lets it chew through long documents without losing the thread. Users regularly reach for it in high-volume, cost-sensitive workflows — customer support automation, document extraction, content drafting — where running a heavier model would be prohibitively expensive at scale. The low time-to-first-token (1.23 seconds) keeps interactions feeling responsive. The honest caveat: its overall intelligence ranking sits below the median on comparative benchmarks, and its output generation speed of 54.6 tokens per second lags well behind faster alternatives. It also has a knowledge cutoff of October 2023, so anything that happened after that is outside its awareness. For tasks where raw capability matters less than throughput and price, GPT-4o mini is the practical, no-drama choice.
Best for
- High-volume customer support chatbots and help desk systems where cost-per-request is a hard constraint
- Code generation and debugging — strong HumanEval performance (87.2%) makes it reliable for day-to-day coding tasks
- Document processing at scale: extracting structured data from receipts, invoices, and long-form text up to 128K tokens
- Content drafting — email composition, summaries, and writing assistance where turnaround matters more than depth
- Scalable API integrations where structured JSON output and batch pricing (50% off via Batch API) reduce infrastructure costs
Specifications
| Provider | OpenAI |
|---|---|
| Released | 2024-07 |
| Intelligence | Low |
| Speed | Medium |
| Context window | 128,000 tokens |
| Max output | 16,384 tokens |
| Knowledge cutoff | October 1, 2023 |
| Input price | $0.15 / 1M tokens |
| Output price | $0.60 / 1M tokens |
| Request cost | 1 base request |
| Plan tier | Base |
| Model ID | gpt-4o-mini |
OpenAI retired GPT‑4o inside ChatGPT on February 13, 2026. It remains available through the OpenAI API and here on just4o.chat.
Frequently asked questions
Input is $0.15 per million tokens and output is $0.60 per million tokens. Using the Batch API for non-time-sensitive work cuts those prices in half: $0.075 input, $0.30 output.
128,000 input tokens with a maximum of 16,384 output tokens per response — large enough to handle lengthy documents or extended multi-turn conversations in a single call.
Its intelligence index ranks below average compared to other models, and its token generation speed (54.6 t/s) is notably slower than the median. Its knowledge cutoff is October 2023, so it has no awareness of events after that date.
GPT-4o mini is significantly cheaper and faster to first token, but trades off overall reasoning depth and benchmark performance. It's the right pick when volume and cost dominate; GPT-4o is better when task complexity demands it.
Yes — it accepts both text and image inputs. However, image analysis can be inconsistent for certain visual types (traffic scenes, architectural detail, weather patterns), and full vision parity with GPT-4o is still evolving.
Developers and teams running high-volume applications where cost efficiency is the priority — think customer service bots, automated pipelines, document parsing, or any product that makes thousands of model calls per day.