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
Nemotron 3.5 Super VL	NVIDIA	0.15	0.5	1.0M	236K	#1	N/A
Nemotron 3 Ultra 550B A55B	NVIDIA	0.25	2.15	1.0M	461K	#2	#1
Nemotron Lightning 3.5	NVIDIA	0.05	0.2	1.0M	236K	#3	#3
Nemotron Super 3 120B A12B	NVIDIA	0.08	0.4	1.0M	236K	#4	#2
Nemotron Nano 3 30B A3B	NVIDIA	0.05	0.2	262K	236K	#5	#4
Nemotron Nano 2 12B VL	NVIDIA	0.1	0.1	131K	4K	#6	N/A
Nemotron Nano 2 9B	NVIDIA	0.04	0.16	131K	8K	#7	N/A
Llama 3.1 Nemotron 70B Instruct	NVIDIA	0.12	0.3	131K	16K	#8	N/A
Llama 3.3 Nemotron 1.5 Super 49B	NVIDIA	0.1	0.4	131K	16K	N/A	N/A
Nemotron 120B A12B	NVIDIA	0.3	0.75	N/A	N/A	N/A	N/A
Nemotron 3 Nano 30B	NVIDIA	0.072	0.288	262K	8K	N/A	N/A
Nemotron 3 Super 120B	NVIDIA	0.18	0.78	256K	33K	N/A	N/A
Nemotron 3 Ultra	NVIDIA	0.6	2.40	262K	33K	N/A	N/A
Nemotron 3 Ultra NVfp4	NVIDIA	0.66	2.64	262K	N/A	N/A	N/A
Nemotron 3.5 30B A3B Lightning	NVIDIA	0.0115	0.17	262K	N/A	N/A	N/A
Nemotron 3.5 Content Safety	NVIDIA	0.2	0.2	131K	118K	N/A	N/A
Nemotron 3.5 Super VL 120B A12B	NVIDIA	0.15	0.5	1.0M	N/A	N/A	N/A
Nemotron Lightning 3.5 30B A3B	NVIDIA	0.05	0.2	262K	33K	N/A	N/A
Nemotron Nano 2 12B	NVIDIA	0.2	0.2	131K	8K	N/A	N/A
Nemotron Nano 3 30B	NVIDIA	0.06	0.24	262K	8K	N/A	N/A
Nemotron Nano 3 30B A3B Omni Reasoning	NVIDIA	N/A	N/A	256K	66K	N/A	N/A
Nemotron Super 3 120B	NVIDIA	0.15	0.65	256K	33K	N/A	N/A
Nemotron Super 3 120B A12B	NVIDIA	0.5	1.50	256K	N/A	N/A	N/A
NV Embed 4 QA	NVIDIA	0.1	0.1	N/A	N/A	N/A	N/A

AI Model Comparison