Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | GPT-5.3-Codexgpt-5.3-codex | Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex |
|---|---|---|
| Pricing | ||
| Input | $1.75 / 1M | — |
| Output | $14.00 / 1M | — |
| Cache Write (5m) | $1.75 / 1M | Not applicable |
| Cache Write (1h) | $1.75 / 1M | Not applicable |
| Cache Read | $1.75 / 1M | Not applicable |
| Web Search | $0 / 1M | — |
| Request | — | $0.0336 / request |
| Billing | — | Pay Per Request |
| Context | ||
| Max context | 400K | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | OpenAI | |
| Category | chat | image |
| Charge type | Pay As You Go | Pay Per Request |
| Released | — | — |
| Description | ||
| Summary | GPT-Codex-5.3 is OpenAI's most advanced agentic coding model, designed for software engineering workflows that extend beyond single prompts into long-running, tool-driven execution. It combines the frontier coding performance of earlier Codex models with stronger reasoning and professional knowledge capabilities, enabling reliable handling of complex refactors, multi-step debugging, research-driven development, and autonomous task execution. Optimized for developer productivity, GPT-Codex-5.3 supports interactive collaboration during execution, allowing users to steer tasks in real time without losing context. With improved agentic reliability, faster inference, and stronger performance on long-horizon engineering tasks, it is well suited for coding agents, IDE and CLI workflows, and end-to-end software development pipelines where persistence, tool use, and execution continuity are critical. | Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size. |