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
Claude Opus 4.5	Anthropic	5.00	25.00	compare (9)	410K	64K	43.1#1	42.9#1
Kimi K2 Thinking	Moonshot AI (Kimi)	0.574	1.20	compare (9)	262K	33K	40.9#2	34.8#2
MiniMax M2.1	MiniMax	0.290	0.950	compare (7)	1.0M	131K	39.4#3	32.8#6
Claude Sonnet 4.5	Anthropic	3.00	15.00	compare (10)	1.0M	64K	37.1#4	33.5#5
GPT-5.2	OpenAI	1.75	14.00	compare (7)	410K	128K	33.6#5	34.7#3
Claude Sonnet 4	Anthropic	3.00	15.00	compare (10)	1.0M	64K	33.0#7	30.6#7
Claude Opus 4	Anthropic	15.00	75.00	compare (9)	410K	32K	33.0#6	34.0#4
DeepSeek V3.2	DeepSeek	0.259	0.400	compare (11)	164K	66K	28.4#8	30.0#8
GPT-5.1	OpenAI	1.25	10.00	compare (7)	410K	128K	27.4#9	27.3#9
DeepSeek V3 0324	DeepSeek	0.200	0.400	compare (9)	164K	16K	22.3#10	22.0#10
GPT-5	OpenAI	1.25	10.00	compare (9)	410K	128K	21.8#11	21.2#11
GPT-4o	OpenAI	2.50	10.00	compare (7)	131K	16K	14.1#12	16.6#12
GPT-4o Mini	OpenAI	0.150	0.600	compare (7)	131K	16K	12.6#13	N/A
Gemini 3 Flash Preview	Google	0.500	3.00	compare (4)	1.0M	66K	N/A	N/A
Gemini 3 Pro Preview	Google	2.00	12.00	compare (6)	1.0M	66K	N/A	N/A
GLM-4.7 FP8	Zhipu AI	0.400	2.00	compare (1)	203K	16K	N/A	N/A
Qwen3 VL 235B A22B Instruct FP8	Alibaba	0.300	1.40	compare (1)	262K	16K	N/A	N/A

AI Model Comparison