NanoGPT Guide

Supported Models

All the models on NanoGPT, what they cost, and which one to pick for what.

You get models from OpenAI, Anthropic, Google, DeepSeek, and Meta through one account. Switch between them whenever. No separate subscriptions or API keys to manage. That's the whole point, honestly.

I keep switching between models depending on the task. Claude for writing, GPT-4o for code, DeepSeek for quick math. Before NanoGPT this would have meant three separate accounts and $60/month.

NanoGPT offers 8 models from five different providers through one account. Here's my take on each one after using them all extensively. GPT-4o for complex tasks, Claude 3.5 Sonnet for writing, and DeepSeek V3 is surprisingly good for coding at a fraction of the cost.

GPT-4o

OpenAIMid-range

OpenAI's flagship. Good at reasoning, coding, and creative work. The one I reach for when a task has multiple steps or needs careful thinking. Not the cheapest, but it rarely gets things wrong.

Best for: Complex analysis, coding, creative writing

GPT-4o Mini

OpenAIBudget-friendly

Lighter, faster version of GPT-4o. Honestly good enough for 80% of what people use AI for. At $0.00015 per 1K input tokens, it's basically free. I use this for quick questions and simple tasks.

Best for: Quick questions, summaries, drafts

GPT-3.5 Turbo

OpenAICheapest

The cheapest OpenAI option. Fine for formatting, basic Q&A, and pulling data out of text. Don't expect nuance. I rarely use this anymore since GPT-4o Mini exists and costs about the same.

Best for: Simple tasks, bulk processing

Claude 3.5 Sonnet

AnthropicMid-range

Anthropic's best model. I prefer it for long-form writing, it follows instructions better and the prose feels more natural than GPT-4o. It's the model I recommend to anyone who writes a lot.

Best for: Long documents, analysis, detailed writing

Claude 3 Haiku

AnthropicBudget-friendly

Anthropic's fast model. Quick responses for short tasks. Use it when you need an answer now and don't need it to be brilliant. Good for translation and simple formatting.

Best for: Speed-critical tasks, simple Q&A

Gemini 1.5 Pro

GoogleMid-range

Google's top model with a massive context window. You can feed it entire codebases or book-length texts without chunking. The context window alone makes it worth having access to.

Best for: Large documents, code review, data analysis

DeepSeek V3

DeepSeekVery cheap

Open-weight model that holds its own against GPT-4 on reasoning. Shockingly good at coding and math for the price. Some of my dev friends swear by this one for everyday coding tasks.

Best for: Coding, math, reasoning tasks

Llama 3.1 70B

MetaBudget-friendly

Meta's open-source model. Decent general performance. Runs through NanoGPT's servers so you don't need a GPU. Good fallback option when you want something different.

Best for: General tasks, privacy-sensitive work

Which model should you pick?

For Coding

GPT-4o for complex projects. DeepSeek V3 is surprisingly close in quality and costs way less. Claude 3.5 Sonnet works well for code review specifically.

For Writing

Claude 3.5 Sonnet, no contest. It follows instructions more carefully and the output reads less like a robot wrote it.

For Quick Questions

GPT-4o Mini or Claude 3 Haiku. Both are fast and cheap. For simple lookups and short tasks, no reason to spend more.

For Long Documents

Gemini 1.5 Pro. Largest context window available. You can paste in 100+ pages and it handles it.