---
type: Comparison
title: "GPT-5.3-Codex-Spark vs GPT-5.3-Codex (Full): Which AI Model is Superior?"
description: "Compare GPT-5.3-Codex-Spark and GPT-5.3-Codex (Full) based on features, performance, and use cases. Discover which model suits your needs best."
resource: "https://www.contextstudios.ai/comparisons/gpt-5-3-codex-spark-vs-gpt-5-3-codex"
category: technology
language: en
timestamp: "2026-02-19T14:09:06.301Z"
---

# GPT-5.3-Codex-Spark vs GPT-5.3-Codex (Full): Which AI Model is Superior?

Choosing the right AI model is crucial for achieving optimal results in your projects. We compare GPT-5.3-Codex-Spark with GPT-5.3-Codex (Full) to help you decide.

## Comparison Factors

| Factor | GPT-5.3-Codex-Spark | GPT-5.3-Codex (Full) | Winner |
|--------|------|------|--------|
|  | 1,000+ tok/s on Cerebras WSE-3 | ~65 tok/s on NVIDIA GPUs | a |
|  | 72.1% SWE-Bench Pro | 76.3% SWE-Bench Pro | b |
|  | 50% faster TTFT, persistent WebSocket | Standard REST API latency | a |
|  | ChatGPT Pro only ($200/mo) | API access for all developers | b |

## Key Statistics

- 1,000+ tok/s
- 50% faster
- 80% faster
- 72.1%

## Verdict

GPT-5.3-Codex (Full) offers comprehensive features, while GPT-5.3-Codex-Spark is optimized for speed. Choose based on your project requirements.

Keywords: GPT-5.3-Codex-Spark, GPT-5.3-Codex, AI coding model, Cerebras, real-time coding