Intelligence index
Outperforms 54% of compared models
o3
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images.
- Input / output price
- $2/$8per 1M tokens
- Context
- 200K
- Released
- 2025-04-16
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Data Visualization
1200Elo
Win rate 48.1%
UI Component
1011Elo
Win rate 53.3%
Game Development
1034Elo
Win rate 56.9%
Code Categories
1018Elo
Win rate 51.9%
Website
1036Elo
Win rate 53.8%
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