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Large Language Models

CodeHelp can use several different large language models to generate responses to queries. By default, the following models are available in CodeHelp:

Model Avg cost per 100 queries Average response time Notes
Google Gemini 3 Flash Preview US$0.50 8 seconds (Recommended) The best Google model for most cases. It compares well on cost, speed, and response quality to the recommended OpenAI model.
OpenAI GPT-5.4 mini US$0.70 5 seconds (Recommended) The best OpenAI model for most cases. High quality responses at a high speed.
OpenAI GPT-5.4 nano US$0.20 7 seconds A step down in quality from GPT-5.4 mini, but it will still provide reasonable, useful responses in most cases.
OpenAI GPT-4.1 nano US$0.05 2 seconds The lowest-cost and fastest of these options. It can provide accurate, helpful responses in a wide variety of cases, but it will be noticeably less accurate at times, including for less common programming languages, and it may exhibit less fluency in languages other than English. A good choice only if cost is the most important factor.

Not recommended

For comparison, here are a few OpenAI and Google models that are high-quality but whose cost and/or speed make them poor choices.

These models will produce some of the highest quality responses available, but the improvement over the recommended models above will be relatively small, especially relative to their substantially slower generation and higher costs. They’re probably not worth the cost and latency except for graduate-level classes, niche topics, and uncommon programming languages. Most CS classes and students are unlikely to see a useful difference in responses between these and the above models.

They are not provided as options by default, but you can always configure one as a custom model for your own classes if you want to try it.

Model Avg cost per 100 queries Average response time
Google Gemini 3.1 Pro Preview US$2 very slow
OpenAI GPT-5.4 (no reasoning) US$2 14 seconds
OpenAI GPT-5.4 (reasoning enabled) US$3+ very slow