Comparison hub
Every model, head to head
16 data-driven comparisons across GPT-5, Claude and Gemini — each computed from verified list prices, with monthly cost modeled at three real workloads. Numbers, not vibes.
OpenAI vs Anthropic
OpenAI vs Google
Google vs OpenAI
Google vs Anthropic
Anthropic vs Google
OpenAI vs OpenAI
GPT-5 vs GPT-5 mini
$1.25 vs $0.25 /1M in · 400K vs 400K ctx
GPT-5 mini vs GPT-5 nano
$0.25 vs $0.05 /1M in · 400K vs 400K ctx
GPT-5 vs GPT-4o
$1.25 vs $2.50 /1M in · 400K vs 128K ctx
GPT-4o mini vs GPT-5 nano
$0.15 vs $0.05 /1M in · 128K vs 400K ctx
GPT-4o vs GPT-4o mini
$2.50 vs $0.15 /1M in · 128K vs 128K ctx
Anthropic vs Anthropic
Google vs Google
Frequently asked questions
Which LLM is cheapest in 2026?
GPT-5 nano at $0.05 per 1M input tokens and $0.40 per 1M output tokens is the cheapest verified production API. Claude Haiku 4.5 ($1.00 in / $5.00 out) is the cheapest Claude; Gemini 3.5 Flash ($1.50 in / $9.00 out) is Google’s mainstream tier. Every comparison page on this site computes the winner at your real workload.
How do I choose between GPT-5, Claude and Gemini?
Compare on the axes that hit your bill: output price (dominates agent and generation workloads), input price (dominates analysis and RAG), cached-input price (dominates repeat-context apps), and context window (determines what fits in one request). Our head-to-head pages compute all four for each pair, then price three real workloads so you can see dollar differences, not just ratios.
Are these comparison prices up to date?
Yes — every figure comes from our pricing database, where each row carries a verification date checked against official provider pages. All rows on this page were verified as of 2026-08-25. Rows awaiting re-verification are labeled as such rather than silently going stale.
Build your own comparison
Your workload is unique — the API Cost Calculator prices every model at your exact request volumes and cache profile, the Token Counter measures real token usage, and the Pricing Comparison shows all rates on one screen.