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, $	Inference Providers	Context	Max Output	Intelligence	Coding
MiniMax M2.7	MiniMax	0.300	1.20	compare (2)	205K	131K	49.6#1	41.9#1
MiniMax M2.5	MiniMax	0.118	0.990	compare (4)	1.0M	131K	41.9#2	37.4#2
MiniMax M2.1	MiniMax	0.290	0.950	compare (7)	1.0M	131K	39.4#3	32.8#3
MiniMax M2	MiniMax	0.255	1.00	compare (7)	205K	131K	36.1#4	29.2#4
MiniMax M1 80K	MiniMax	0.100	0.100	compare (2)	1.0M	40K	24.4#5	14.5#5
MiniMax M1	MiniMax	0.400	2.20	compare (1)	1.0M	40K	N/A	N/A
MiniMax M2 MaaS	MiniMax	N/A	N/A	compare (1)	197K	N/A	N/A	N/A
MiniMax M2-her	MiniMax	0.300	1.20	compare (1)	66K	2K	N/A	N/A
MiniMax M2.1 Lightning	MiniMax	0.300	2.40	compare (2)	1.0M	131K	N/A	N/A
MiniMax M2.5 High Speed	MiniMax	0.600	2.40	compare (1)	205K	131K	N/A	N/A
MiniMax M2.5 Lightning	MiniMax	0.300	2.40	compare (1)	1.0M	8K	N/A	N/A
MiniMax M2.7 High Speed	MiniMax	0.600	2.40	compare (1)	205K	131K	N/A	N/A
MiniMax-01	MiniMax	0.200	1.10	compare (1)	1.0M	N/A	N/A	N/A
Speech 2.6 HD	MiniMax	N/A	N/A	compare (1)	N/A	N/A	N/A	N/A
Speech 2.6 Turbo	MiniMax	N/A	N/A	compare (1)	N/A	N/A	N/A	N/A
Speech-02-HD	MiniMax	N/A	N/A	compare (1)	N/A	N/A	N/A	N/A
Speech-02-Turbo	MiniMax	N/A	N/A	compare (1)	N/A	N/A	N/A	N/A

AI Model Comparison