
Best LLMs For Programming: Overview, Tables and Costs
November 22, 2024
•
Hugo Huijer
As a developer and AI enthusiast, I've spent considerable time researching different Language Learning Models (LLMs) to help fellow programmers make informed decisions. While I haven't personally tested all these models (I want to be transparent about that!), I've gathered data from reliable sources to give you a solid overview of what's available.
What are the best LLMs for Programming?
Finding the right LLM for programming isn't just about picking the most powerful one - it's about finding the sweet spot between capabilities, cost, and your specific needs. After analyzing the available options, I've identified five standout choices that could fit different programming scenarios and budgets.
Model | Provider | Context Window | Cost (Input/Output) | Best For |
---|---|---|---|---|
Claude-3 Opus | Anthropic | 200K tokens | $15/$75 per 1M tokens | Complex projects, architecture design |
Gemini 1.5 Pro Preview | 1M tokens | $0.08/$0.31 per 1M tokens | Balanced performance and cost | |
Open Mistral Nemo | Mistral | 128K tokens | $0.30/$0.30 per 1M tokens | Daily development tasks |
Claude-3 Haiku | Anthropic | 200K tokens | $0.25/$1.25 per 1M tokens | Budget-conscious quality assistance |
Llama 3.2 11B | Meta AI | 128K tokens | $0.35/$0.35 per 1M tokens | Team standardization |

Anthropic - Claude-3 Opus
If you're tackling complex programming challenges and budget isn't your primary concern, Claude-3 Opus is a powerhouse. Think of it as having a senior developer available 24/7 who can help with everything from architecture decisions to debugging complex systems.
Model Name | claude-3-opus-20240229 |
Context Window | 200K tokens |
Pricing | $15/$75 per 1M tokens |

Google - Gemini 1.5 Pro Preview
Here's where things get interesting - Gemini 1.5 Pro Preview offers an impressive balance of capabilities and cost. With its massive context window, you can throw entire codebases at it without breaking a sweat. It's like having a Swiss Army knife that doesn't break the bank.
Model Name | gemini-1.5-pro-preview-0514 |
Context Window | 1M tokens |
Pricing | $0.08/$0.31 per 1M tokens |

Mistral - Open Mistral Nemo
Open Mistral Nemo is what I'd call the "people's champion" - it delivers solid performance at a very reasonable price point. The consistent pricing for input and output makes it super easy to budget for, which is always a plus in my book.
Model Name | open-mistral-nemo |
Context Window | 128K tokens |
Pricing | $0.30/$0.30 per 1M tokens |

Anthropic - Claude-3 Haiku
Don't let the "budget" label fool you - Claude-3 Haiku packs a serious punch. It's Anthropic's most affordable option, but it still carries much of the DNA that makes Claude models great for programming tasks.
Model Name | claude-3-haiku-20240307 |
Context Window | 200K tokens |
Pricing | $0.25/$1.25 per 1M tokens |

Meta AI - Llama 3.2 11B
Llama 3.2 11B hits a sweet spot for teams looking to standardize their AI tooling. With its predictable pricing and solid capabilities, it's like having a reliable team member who's always ready to help.
Model Name | llama-3.2-11b-instruct |
Context Window | 128K tokens |
Pricing | $0.35/$0.35 per 1M tokens |
Remember, the "best" LLM really depends on your specific needs. Are you working on complex system architecture? Claude-3 Opus might be your best bet. Running a startup on a bootstrap budget? Gemini 1.5 Pro Preview could give you the most bang for your buck. The key is to match the model's strengths with your particular use case.
Also, keep in mind that this field moves incredibly fast - what's true today might change tomorrow. I'd recommend doing a quick check on the latest pricing and capabilities before making your final decision. Happy coding! 🚀