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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-5.3-CodexOpenAIRemove
  2. Gemini 3.1 Flash Lite Image (Google AI Studio)GoogleEnterprise & partner accessRemove
gpt-5.3-codex vs gemini-3.1-flash-lite-image-aistudio
AttributeGPT-5.3-Codexgpt-5.3-codexGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudio
Pricing
Input$1.75 / 1M—
Output$14.00 / 1M—
Cache Write (5m)$1.75 / 1MNot applicable
Cache Write (1h)$1.75 / 1MNot applicable
Cache Read$1.75 / 1MNot applicable
Web Search$0 / 1M—
Request—$0.0336 / request
Billing—Pay Per Request
Context
Max context400KN/A
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderOpenAIGoogle
Categorychatimage
Charge typePay As You GoPay Per Request
Released——
Description
SummaryGPT-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 AI Studio. 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.