Compare Nemotron 3 Ultra (free) and GPT-5.3-Codex on key metrics including price, context length, throughput, and other model features.
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it supports text input and output with a context window of up to 1M tokens. It is suited for long-running agentic workflows, including agent orchestration, coding agents, deep research, and complex enterprise tasks. It is particularly strong at multi-step reasoning and planning, with high-throughput inference designed for high-volume agent pipelines. It is part of the NVIDIA Nemotron family of open models for agentic AI.
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model. It pairs the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It delivers state-of-the-art results on SWE-Bench Pro and strong performance on Terminal-Bench 2.0 and OSWorld-Verified, highlighting better multi-language coding, terminal fluency, and real-world computer-use skills. The model is tuned for long-running, tool-driven workflows and supports interactive steering during execution, making it well-suited for complex development work, debugging, deployment, and iterative product cycles. Outside of coding, GPT-5.3-Codex also performs well on structured knowledge-work benchmarks such as GDPval, enabling tasks like drafting documents, analyzing spreadsheets, creating slides, and conducting operational research across domains. It is trained with increased cybersecurity awareness, including the ability to identify vulnerabilities, and is deployed with extra safeguards for higher-risk scenarios. Relative to earlier Codex models, it is more token-efficient and about 25% faster, aimed at end-to-end professional workflows that combine reasoning, execution, and computer interaction.