Multi-Model AI Comparator

Compare GPT-4, Claude, Gemini — tokens + costs side-by-side

Your prompt / text

Tokens (GPT cl100k): 0 Characters: 0

Estimated output length 500 tokens

5050020004000

Model	Tokens	Input $	Output $	Total /call	1000 calls

💰 Cheapest option

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Learn more — how it works, FAQ & guide

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Compare GPT-4, Claude, Gemini — tokens + costs instantly

Toololis Multi-Model AI Comparator shows token counts and API costs across 8 major models side-by-side. Pick your best price-quality trade-off without switching 8 browser tabs.

How to use this tool

1
Paste prompt
Drop your prompt, conversation history, or any text input.
2
Review the table
All 8 models compared: GPT-4o, GPT-4, GPT-3.5, Claude Opus/Sonnet/Haiku, Gemini Pro/Flash.
3
Find the cheapest
Green highlights show best price. Red highlights show expensive models.

Price-quality tiers in 2026

Flagship ($10+ input): Claude 3 Opus, GPT-4 Turbo. Best reasoning. Reserve for complex tasks.
Balanced ($2-5 input): Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro. Best value for most tasks.
Cheap ($0.1-0.5 input): Claude 3 Haiku, GPT-3.5, Gemini 1.5 Flash. Classification, summaries, simple Q&A.

Frequently Asked Questions

Which AI model should I pick?

Gemini 1.5 Flash for cheapest. Claude 3.5 Sonnet for best quality/price balance in 2026. Claude 3 Haiku for cheapest + good quality. GPT-4o if you're already in OpenAI ecosystem. Gemini 1.5 Pro for massive contexts (1M tokens).

Why do costs differ so much?

API providers price based on compute cost + perceived quality. Claude 3 Opus ($15 input) and GPT-4 Turbo ($10) have similar quality. Claude 3.5 Sonnet ($3) offers 90% of Opus's quality at 20% the cost — best value in 2026.

Is quality reflected in price?

Not linearly. Cheaper models are often good enough for 80% of tasks. Only use expensive Opus/GPT-4 for complex reasoning. For classification, summary, simple Q&A — Haiku or Flash is usually perfect.

Are these 2026 prices?

Yes. Prices reference as of our last check. Always verify on the provider's pricing page before budgeting.

Input vs output costs?

Input tokens are what YOU send. Output tokens are what the AI generates. Output is typically 3-5× more expensive than input. Keep prompts short, streaming helps perceived latency.

What about Llama / Mistral / open-source?

Open-source models hosted via Groq, Together, Replicate, etc. have wildly different prices. For self-hosted: you pay only for GPU time. This comparator focuses on frontier commercial models — we'll add open-source soon.

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