Gemini 3.1 Flash Lite vs GPT-5.3-Codex
A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Gemini 3.1 Flash Lite vs GPT-5.3-Codex: side by side
| Spec | Gemini 3.1 Flash Lite | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Intelligence | 33.5 | 53.6 | GPT-5.3-Codex |
| Output speed | 310 t/s | 101 t/s | Gemini 3.1 Flash Lite |
| Output price | $1.50/1M | $14.00/1M | Gemini 3.1 Flash Lite |
| Context | 1049K | 400K | Gemini 3.1 Flash Lite |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | Tie |
Gemini 3.1 Flash Lite
Pros
- +High speed and low latency
- +Handles very large context windows
- +Broad modality support in a lightweight package
- +Resource-efficient inference
Cons
- –Reduced depth on highly complex reasoning tasks
- –Lite design trades peak capability for speed
- –May require more guidance on nuanced or creative outputs
GPT-5.3-Codex
Pros
- +Specialized for programming workflows
- +Extensive context handling
- +Support for diverse input types
Cons
- –Narrower focus than general-purpose models
- –Performance tied to input quality
Frequently asked questions
It depends on your needs. Gemini 3.1 Flash Lite and GPT-5.3-Codex are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.