Intelligence index
Outperforms 11% of compared models
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs.
As their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than GPT-3.5 Turbo. It maintains SOTA intelligence, while being significantly more cost-effective.
GPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences common leaderboards.
Check out the launch announcement to learn more.
#multimodal
- Input / output price
- $0.15/$0.6per 1M tokens
- Context
- 128K
- Released
- 2024-07-18
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 10% of compared models
Related Models
GPT-6 Astra
openaiGPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.
- Context
- 1.1M
- Max output
- 128K
- Released
- 2026-09-04
- Input
- $10/M
- Output
- $50/M
- Cache read
- $1/M
GPT-6.1 Sol
openaiGPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.
- Context
- 1.1M
- Max output
- 128K
- Released
- 2026-09-29
- Input
- $2/M
- Output
- $10/M
- Cache read
- $0.1/M
GPT-6.1 Terra
openaiGPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.
- Context
- 1.1M
- Max output
- 128K
- Released
- 2026-10-26
- Input
- $1/M
- Output
- $5/M
- Cache read
- $0.05/M