Question 1

What is the cheapest AI model for chat?

Accepted Answer

The cheapest AI chat models are typically smaller models like GPT-3.5-turbo, Claude Instant, or open-source models on platforms like Together AI and Groq. Prices can be as low as $0.10-0.25 per million tokens. However, cheaper models may have reduced capabilities compared to flagship models like GPT-4 or Claude 3 Opus. Use CloudPrice to compare current prices across all providers.

Question 2

How much does GPT-4 cost?

Accepted Answer

GPT-4 pricing varies by version. GPT-4 Turbo costs approximately $10 per million input tokens and $30 per million output tokens. GPT-4o is more affordable at around $5/$15 per million tokens. OpenAI also offers GPT-4o-mini at significantly lower prices. Pricing may change, so check CloudPrice for current rates.

Question 3

What is the difference between input and output tokens?

Accepted Answer

Input tokens are the text you send to the AI model (your prompts, context, and conversation history). Output tokens are what the model generates in response. Most AI providers charge differently for input and output tokens, with output tokens typically being 2-4x more expensive because they require more computation to generate.

Question 4

Which AI model has the largest context window?

Accepted Answer

Google's Gemini 1.5 Pro currently offers one of the largest context windows at 1 million tokens. Anthropic's Claude 3 models support 200K tokens, while OpenAI's GPT-4 Turbo supports 128K tokens. Larger context windows allow processing more text in a single request but may cost more.

Question 5

What does 'supports vision' mean for AI models?

Accepted Answer

AI models with vision support can process and understand images in addition to text. You can send images as part of your prompt and the model can describe, analyze, or answer questions about them. Examples include GPT-4 Vision, Claude 3, and Gemini Pro Vision. Vision capabilities typically cost extra per image processed.

Model	Creator	Input Price, $	Output Price, $	Context	Max Output	Intelligence	Coding
Phi-4 Mini	Microsoft	N/A	N/A	N/A	N/A	#1	#1
Phi-4	Microsoft	0.07	0.14	16K	16K	#2	N/A
BGE Large EN	Microsoft	0.1	N/A	512	N/A	N/A	N/A
E5 Base V2	Microsoft	0.06	0.06	N/A	N/A	N/A	N/A
Image 2.5 Flash	Microsoft	1.75	N/A	N/A	N/A	N/A	N/A
MAI Code 1 Flash	Microsoft	0.75	4.50	128K	64K	N/A	N/A
MAI Code 1 Flash Internal	Microsoft	0.75	4.50	128K	64K	N/A	N/A
MAI DS R1	Microsoft	1.35	5.40	128K	8K	N/A	N/A
MAI Image 2.5	Microsoft	5.00	N/A	N/A	N/A	N/A	N/A
MAI Image 2E	Microsoft	5.00	N/A	N/A	N/A	N/A	N/A
Model Router	Microsoft	0.14	N/A	N/A	N/A	N/A	N/A
Multilingual E5 Large	Microsoft	0.1	0.1	N/A	N/A	N/A	N/A
Multilingual E5 Large Instruct	Microsoft	0.02	0.02	514	N/A	N/A	N/A
Multilingual E5 Small	Microsoft	0.015	N/A	N/A	N/A	N/A	N/A
Phi-2 3B	Microsoft	0.1	0.1	2K	2K	N/A	N/A
Phi-3 Medium Instruct	Microsoft	N/A	N/A	128K	4K	N/A	N/A
Phi-3 Mini Instruct	Microsoft	0.1	0.1	131K	4K	N/A	N/A
Phi-3 Small Instruct	Microsoft	N/A	N/A	128K	4K	N/A	N/A
Phi-3 Vision Instruct	Microsoft	0.2	0.2	32K	N/A	N/A	N/A
Phi-3.5 Mini Instruct	Microsoft	N/A	N/A	128K	4K	N/A	N/A
Phi-3.5 MoE Instruct	Microsoft	N/A	N/A	128K	4K	N/A	N/A
Phi-3.5 Vision Instruct	Microsoft	N/A	N/A	128K	4K	N/A	N/A
Phi-4 Mini Instruct	Microsoft	0.075	0.3	131K	4K	N/A	N/A
Phi-4 Mini MM	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
Phi-4 Mini Reasoning	Microsoft	N/A	N/A	131K	4K	N/A	N/A
Phi-4 Multimodal Instruct	Microsoft	0.08	0.32	131K	4K	N/A	N/A
Phi-4 Reasoning	Microsoft	N/A	N/A	33K	4K	N/A	N/A
Phi-4 Reasoning Plus	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
Prebuilt Document	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
Prebuilt Layout	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
Prebuilt Read	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
ResNet-50	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
STT	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
TTS	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
TTS HD	Microsoft	N/A	N/A	N/A	N/A	N/A	N/A
WizardLM 2 8x22B	Microsoft	0.48	0.48	66K	8K	N/A	N/A

AI Model Comparison