Intelligence index
Outperforms 79% of compared models
GPT-5.3-Codex
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results on SWE-Bench Pro and strong performance on Terminal-Bench 2.0 and OSWorld-Verified, reflecting improved multi-language coding, terminal proficiency, and real-world computer-use skills. The model is optimized for long-running, tool-using workflows and supports interactive steering during execution, making it suitable for complex development tasks, debugging, deployment, and iterative product work.
Beyond coding, GPT-5.3-Codex performs strongly on structured knowledge-work benchmarks such as GDPval, supporting tasks like document drafting, spreadsheet analysis, slide creation, and operational research across domains. It is trained with enhanced cybersecurity awareness, including vulnerability identification capabilities, and deployed with additional safeguards for high-risk use cases. Compared to prior Codex models, it is more token-efficient and approximately 25% faster, targeting professional end-to-end workflows that span reasoning, execution, and computer interaction.
- Input / output price
- $1.75/$14per 1M tokens
- Context
- 400K
- Released
- 2026-02-24
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Asciiart
1149Elo
Win rate 51.2%
SVG
1126Elo
Win rate 54%
Game Development
1161Elo
Win rate 51.3%
Data Visualization
1164Elo
Win rate 50.6%
UI Component
1132Elo
Win rate 47.3%
Website
1161Elo
Win rate 48.6%
Code Categories
1143Elo
Win rate 47.2%
3D
1005Elo
Win rate 35.3%
Agent Arena
Godotgamedev
1124Elo
Win rate 45.1%
Androidnative
1084Elo
Win rate 35.2%
Fullstack
983Elo
Win rate 36.5%
Webapps
1032Elo
Win rate 36.9%
Mobile Apps
1053Elo
Win rate 41.4%
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