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
QwQ 32B	Alibaba	0.150	0.200	compare (8)	131K	16K	19.7#1	N/A
DeepSeek R1 Distill Qwen 32B	DeepSeek	0.270	0.270	compare (6)	131K	32K	17.2#2	N/A
DeepSeek R1 Distill Llama 70B	DeepSeek	0.200	0.600	compare (10)	131K	16K	16.0#3	11.4#1
DeepSeek R1 Distill Qwen 14B	DeepSeek	0.070	0.070	compare (4)	131K	16K	15.8#4	N/A
Llama 3.3 70B Instruct	Meta	0.100	0.300	compare (16)	131K	120K	14.5#5	10.7#2
Qwen2.5 Coder 32B Instruct	Alibaba	0.050	0.100	compare (7)	131K	8K	12.9#6	N/A
DeepSeek R1 Distill Llama 8B	DeepSeek	0.050	0.050	compare (2)	131K	16K	12.1#7	N/A
Llama 3.1 8B Instruct	Meta	0.020	0.040	compare (15)	200K	128K	11.8#8	4.9#3
Qwen2.5 Coder 7B Instruct	Alibaba	0.010	0.030	compare (3)	131K	8K	10.0#9	N/A
Mixtral 8x22B Instruct	Mistral AI	1.20	1.20	compare (4)	66K	2K	9.8#10	N/A
DeepSeek R1 Distill Qwen 1.5B	DeepSeek	0.100	0.100	compare (2)	131K	N/A	9.1#11	N/A
DeepSeek R1 Distill Qwen 7B	DeepSeek	0.072	0.144	compare (3)	131K	16K	N/A	N/A
Llama 4 Scout 17B Instruct	Meta	0.050	0.100	compare (10)	10.0M	16K	N/A	N/A
Qwen2.5 Coder 3B Instruct	Alibaba	0.010	0.030	compare (2)	33K	N/A	N/A	N/A

AI Model Comparison