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Token insights &
AI cost intelligence

Guides, data, and strategies to help you code with AI more efficiently.

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Claude vs ChatGPT: Real Cost Comparison (2026)

We ran 50 identical coding prompts through Claude Opus 4, Sonnet 4, GPT-4o, and GPT-4o mini. Here's exactly what each model costs per task — and which gives the best value for different use cases.

February 2026 · 8 min read
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ModelInput /1MOutput /1M
Claude Opus 4$15.00$75.00
Claude Sonnet 4$3.00$15.00
Claude Haiku 3.5$0.80$4.00
GPT-4o$2.50$10.00
GPT-4o mini$0.15$0.60

All Articles

Fundamentals

What is a token? A plain-English guide for developers

Tokens are the currency of AI. Understanding how tokenization works helps you write cheaper, faster prompts — and stops you being surprised by your bill.

Feb 2026 · 5 min
Efficiency

10 prompting techniques that cut your token usage in half

Simple changes to how you phrase prompts can dramatically reduce input tokens without losing response quality. We tested each technique with real token counts.

Feb 2026 · 7 min
Deep Dive

Why your AI bill is 5–10x higher than you think

Every message you send includes system prompts, conversation history, and tool definitions you never see. This "overhead" is often the majority of your actual cost.

Feb 2026 · 6 min
Comparison

Text vs voice vs image vs video: AI token costs compared

Different input types have wildly different token rates. A single image can cost as much as 1,000 words of text. Here's the full breakdown.

Feb 2026 · 6 min
Prompt Engineering

10 prompting habits that make every AI token count

Small changes to how you write prompts can dramatically improve output quality while using fewer tokens. Based on real usage data from Kontinuity users.

Feb 2026 · 8 min
Context

Context drift: why your AI forgets your original plan

After 50+ messages, AI models start contradicting earlier decisions. We explain why it happens and how to detect and fix it before you waste hours going off-track.

Feb 2026 · 7 min
© 2026 Kontinuity · Token Usage & Cost Tracking
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