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
GLM-5.3	Zhipu AI	0.079	3.08	1.3M	944K	#1	#1
GLM-5.3 Flash	Zhipu AI	0.11	0.35	1.3M	944K	#2	#2
GLM-5.2	Zhipu AI	0.037	1.98	1.0M	944K	#3	#3
GLM-5	Zhipu AI	0.573	2.08	1.0M	131K	#4	N/A
GLM-5 Turbo	Zhipu AI	1.20	4.00	203K	131K	#5	N/A
GLM-5.1	Zhipu AI	0.966	3.04	205K	203K	#6	#4
GLM-5V Turbo	Zhipu AI	0.704	3.10	205K	131K	#7	N/A
GLM-4.7	Zhipu AI	0.4	1.75	205K	131K	#8	#6
GLM-4.6	Zhipu AI	0.5	2.00	205K	131K	#9	#5
GLM-4.7 Flash	Zhipu AI	0.06	0.4	203K	131K	#10	N/A
GLM-4.5	Zhipu AI	0.4	1.60	131K	98K	#11	N/A
GLM-4.6V	Zhipu AI	0.3	0.9	131K	33K	#12	N/A
GLM-4.5 Air	Zhipu AI	0.125	0.45	131K	98K	#13	N/A
GLM-4.5V	Zhipu AI	0.6	1.20	131K	32K	#14	N/A
AutoGLM Phone 9B Multilingual	Zhipu AI	0.035	0.138	66K	N/A	N/A	N/A
GLM Flash Latest	Zhipu AI	0.0148	0.802	1.3M	944K	N/A	N/A
GLM Latest	Zhipu AI	0.0608	4.40	1.3M	944K	N/A	N/A
GLM-4 32B	Zhipu AI	0.1	0.1	128K	32K	N/A	N/A
GLM-4.5 Air FP8	Zhipu AI	0.2	1.10	131K	N/A	N/A	N/A
GLM-4.5 AirX	Zhipu AI	1.10	4.50	128K	32K	N/A	N/A
GLM-4.5 X	Zhipu AI	2.20	8.90	128K	32K	N/A	N/A
GLM-4.7 FlashX	Zhipu AI	0.06	0.4	200K	128K	N/A	N/A
GLM-4.7 FP8	Zhipu AI	0.4	2.00	203K	16K	N/A	N/A
GLM-4.7 H	Zhipu AI	0.6	2.20	205K	131K	N/A	N/A
GLM-5 Code	Zhipu AI	1.20	5.00	200K	128K	N/A	N/A
GLM-5.1 CC	Zhipu AI	0.06	0.22	200K	131K	N/A	N/A
GLM-5.1 Fast	Zhipu AI	2.80	8.80	203K	131K	N/A	N/A
GLM-5.1 NVFP4 MTP	Zhipu AI	1.40	4.40	203K	N/A	N/A	N/A
GLM-5.2 Fast	Zhipu AI	2.10	6.60	1.0M	262K	N/A	N/A
GLM-5.2 Fast Preview	Zhipu AI	2.25	7.89	1.0M	131K	N/A	N/A
GLM-5.2 Fast US	Zhipu AI	2.10	6.60	1.0M	131K	N/A	N/A
GLM-5.3 Coding	Zhipu AI	0.06	0.22	1.0M	131K	N/A	N/A
GLM-5.3 Fast	Zhipu AI	1.12	4.40	1.0M	262K	N/A	N/A
GLM-5.3 Flash US	Zhipu AI	0.225	0.75	1.0M	N/A	N/A	N/A
GLM-5.3 FlashX	Zhipu AI	0.37	1.25	1.0M	131K	N/A	N/A
GLM-5.3 FP4	Zhipu AI	1.12	4.40	1.0M	N/A	N/A	N/A
GLM-5.3 Prime	Zhipu AI	2.80	8.80	1.0M	131K	N/A	N/A
GLM-5.3 US	Zhipu AI	2.10	6.60	1.0M	128K	N/A	N/A

AI Model Comparison