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
GLM-5 Turbo	Zhipu AI	1.20	4.00	compare (2)	203K	131K	46.8#1	36.8#2
GLM-5.1	Zhipu AI	0.950	3.15	compare (2)	203K	66K	43.8#2	35.8#4
GLM 5V Turbo	Zhipu AI	1.20	4.00	compare (2)	203K	131K	42.9#3	36.2#3
GLM-5	Zhipu AI	0.573	2.30	compare (5)	203K	131K	40.6#4	39.0#1
GLM-4.7	Zhipu AI	0.390	1.75	compare (10)	205K	131K	34.2#5	32.0#5
GLM-4.5	Zhipu AI	0.400	1.60	compare (6)	131K	98K	26.4#6	26.3#6
GLM-4.6	Zhipu AI	0.390	1.90	compare (8)	205K	131K	23.4#7	19.7#8
GLM-4.5 Air	Zhipu AI	0.130	0.850	compare (5)	131K	98K	23.2#8	23.8#7
GLM-4.7 Flash	Zhipu AI	0.060	0.400	compare (3)	203K	131K	22.1#9	11.0#10
GLM-4.6 V	Zhipu AI	0.300	0.900	compare (3)	131K	33K	17.1#10	11.1#9
GLM-4.5 V	Zhipu AI	0.600	1.20	compare (5)	131K	32K	12.7#11	10.8#11
AutoGLM 9B Phone Multilingual	Zhipu AI	N/A	N/A	compare (1)	66K	N/A	N/A	N/A
AutoGLM Phone 9B Multilingual	Zhipu AI	0.035	0.138	compare (1)	66K	N/A	N/A	N/A
GLM 4 32B	Zhipu AI	0.100	0.100	compare (1)	128K	N/A	N/A	N/A
GLM 4.7 FlashX	Zhipu AI	0.060	0.400	compare (1)	200K	128K	N/A	N/A
GLM-4 32B 128K	Zhipu AI	0.100	0.100	compare (1)	128K	32K	N/A	N/A
GLM-4.5 Air FP8	Zhipu AI	0.200	1.10	compare (1)	128K	N/A	N/A	N/A
GLM-4.5 AirX	Zhipu AI	1.10	4.50	compare (1)	128K	32K	N/A	N/A
GLM-4.5 X	Zhipu AI	2.20	8.90	compare (1)	128K	32K	N/A	N/A
GLM-4.7 FP8	Zhipu AI	0.400	2.00	compare (1)	203K	16K	N/A	N/A
GLM-4.7 MaaS	Zhipu AI	N/A	N/A	compare (1)	200K	128K	N/A	N/A
GLM-5 Code	Zhipu AI	1.20	5.00	compare (1)	200K	128K	N/A	N/A
GLM-5 MaaS	Zhipu AI	1.00	3.20	compare (1)	200K	128K	N/A	N/A

AI Model Comparison