Best LLMs For Blog Writing: Overview, Tables and Costs

Best LLMs For Blog Writing: Overview, Tables and Costs

November 22, 2024 Hugo Huijer
As someone who's been keeping a close eye on the LLM landscape, I've noticed how challenging it can be to pick the right model for blog writing. With so many options out there, each with different pricing models and capabilities, I wanted to create a straightforward guide based on the latest available data. While I haven't personally tested all these models, I've gathered reliable information to help you make an informed decision.
What are the best LLMs for blog writing?
When it comes to blog writing, we need to consider three main factors: cost-effectiveness, output quality, and context window size (how much text the model can process at once). I've selected five standout models that offer different advantages for content creators.
ModelContext WindowPrice (Input/Output)Best For
Claude-3-Haiku200K tokens$0.25/$1.25 per 1MBudget-conscious writers
Gemini-1.5-Pro2M tokens$1.25/$5 per 1MLong-form content
Command-R128K tokens$0.15/$0.6 per 1MBalanced usage
Claude-3.5-Sonnet200K tokens$3/$15 per 1MProfessional writing
GPT-4O-Mini128K tokens$0.15/$0.6 per 1MValue-focused quality
Anthropic Logo

Anthropic - Claude-3-Haiku

Think of Claude-3-Haiku as the Toyota Corolla of LLMs - reliable, cost-effective, and gets the job done well. While it's Anthropic's "budget" model, it still packs impressive capabilities for blog writing. What caught my eye was its generous 200K token context window, which means you can feed it longer documents for research and context.
Context Window200K tokens
Input Cost$0.25 per 1M tokens
Output Cost$1.25 per 1M tokens
Google Gemini Logo

Google - Gemini-1.5-Pro

If Claude-3-Haiku is a Corolla, Gemini-1.5-Pro is like a spacious SUV. Its massive 2M token context window is perfect if you're writing comprehensive guides or need to reference multiple sources at once. The pricing sits in the middle range, making it accessible for professional writers who need that extra processing power.
Context Window2M tokens
Input Cost$1.25 per 1M tokens
Output Cost$5 per 1M tokens
Cohere Logo

Cohere - Command-R

Command-R hits a sweet spot in terms of pricing and capabilities. It's like finding that perfect mid-range laptop - not the cheapest, not the most expensive, but offering great value. The 128K context window is plenty for most blog posts, and the pricing makes it attractive for regular use.
Context Window128K tokens
Input Cost$0.15 per 1M tokens
Output Cost$0.6 per 1M tokens
Anthropic Logo

Anthropic - Claude-3.5-Sonnet

Claude-3.5-Sonnet is like the MacBook Pro of LLMs - it's pricier, but you're paying for quality and reliability. If you're running a professional blog or content service, this model offers a great balance of sophisticated outputs and reasonable context length. The higher price point is justified by its more nuanced understanding and output quality.
Context Window200K tokens
Input Cost$3 per 1M tokens
Output Cost$15 per 1M tokens
OpenAI Logo

OpenAI - GPT-4O-Mini

GPT-4O-Mini reminds me of finding a great deal on a high-end brand. It offers impressive capabilities at a surprisingly competitive price point. The 128K context window might not be the largest, but it's more than enough for most blog posts, and the pricing makes it very attractive for regular use.
Context Window128K tokens
Input Cost$0.15 per 1M tokens
Output Cost$0.6 per 1M tokens

The best part about the current LLM landscape is that there's something for everyone. Whether you're just starting out and need a cost-effective solution like Claude-3-Haiku, or you're ready to invest in higher-end models like Claude-3.5-Sonnet, there's an option that fits your needs. Remember that these models are constantly evolving, and prices might change, so it's worth keeping an eye on updates from these providers.

A final tip: don't get too caught up in the technical specs. Start with what fits your budget and workflow, and you can always upgrade as your needs grow. The best LLM is the one that helps you create content consistently and efficiently.

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