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
Muse Spark 1.2	Meta	1.25	4.25	1.0M	944K	#1	#1
Muse Spark 1.1	Meta	1.25	4.25	1.0M	944K	#2	#2
Llama 4 Maverick	Meta	0.12	0.485	1.0M	115K	#3	#3
Llama 4 Scout	Meta	0.1	0.3	1.3M	16K	#4	#5
Llama 3.3 70B Instruct	Meta	0.12	0.2	131K	120K	#5	#4
Llama 3.1 405B Instruct	Meta	0.12	0.3	131K	16K	#6	N/A
Llama 3.1 8B Instruct	Meta	0.02	0.03	200K	128K	#7	#6
Llama 3.1 70B Instruct	Meta	0.1	0.1	131K	16K	#8	N/A
Llama 3.2 3B Instruct	Meta	0.015	0.02	131K	118K	#10	N/A
Llama 2 7B Chat	Meta	0.05	0.15	4K	4K	#9	N/A
Llama 3 70B Instruct	Meta	0.12	0.3	131K	8K	#11	N/A
Llama 2 70B Chat	Meta	0.5	0.9	4K	4K	#13	N/A
Llama 2 13B Chat	Meta	0.1	0.2	4K	4K	#12	N/A
Llama 3.2 1B Instruct	Meta	0.02	0.02	131K	54K	#14	N/A
Llama 3 8B Instruct	Meta	0.03	0.04	32K	8K	#15	N/A
Code Llama 13B	Meta	0.2	0.2	16K	16K	N/A	N/A
Code Llama 13B Instruct	Meta	0.2	0.2	16K	16K	N/A	N/A
Code Llama 13B Python	Meta	0.2	0.2	16K	16K	N/A	N/A
Code Llama 34B	Meta	0.9	0.9	16K	16K	N/A	N/A
Code Llama 34B Instruct	Meta	0.35	0.9	16K	16K	N/A	N/A
Code Llama 34B Python	Meta	0.9	0.9	16K	16K	N/A	N/A
Code Llama 70B	Meta	0.9	0.9	4K	4K	N/A	N/A
Code Llama 70B Instruct	Meta	0.7	0.9	16K	16K	N/A	N/A
Code Llama 70B Python	Meta	0.9	0.9	4K	4K	N/A	N/A
Code Llama 7B	Meta	0.06	0.12	16K	16K	N/A	N/A
Code Llama 7B Instruct	Meta	0.2	0.2	16K	16K	N/A	N/A
Code Llama 7B Python	Meta	0.2	0.2	16K	16K	N/A	N/A
Llama 2 13B	Meta	0.1	0.2	4K	4K	N/A	N/A
Llama 2 70B	Meta	0.1	0.1	4K	4K	N/A	N/A
Llama 2 7B	Meta	0.05	0.2	4K	4K	N/A	N/A
Llama 3 70B	Meta	0.59	0.79	8K	8K	N/A	N/A
Llama 3 8B	Meta	0.05	0.08	8K	8K	N/A	N/A
Llama 3 8B Instruct AWQ	Meta	0.123	0.266	N/A	N/A	N/A	N/A
Llama 3.1 405B	Meta	1.20	1.20	128K	16K	N/A	N/A
Llama 3.1 405B Instruct Long	Meta	0.1	0.1	4K	4K	N/A	N/A
Llama 3.1 70B	Meta	0.36	0.36	128K	16K	N/A	N/A
Llama 3.1 70B Instruct FP8 Fast	Meta	0.293	2.25	N/A	N/A	N/A	N/A
Llama 3.1 8B	Meta	0.03	0.05	131K	16K	N/A	N/A
Llama 3.1 8B Instruct AWQ	Meta	0.123	0.266	N/A	N/A	N/A	N/A
Llama 3.1 8B Instruct FP8	Meta	0.152	0.287	32K	N/A	N/A	N/A
Llama 3.1 8B Instruct FP8 Fast	Meta	0.045	0.384	N/A	N/A	N/A	N/A
Llama 3.2 11B	Meta	0.16	0.16	128K	8K	N/A	N/A
Llama 3.2 11B Instruct	Meta	0.35	0.35	128K	4K	N/A	N/A
Llama 3.2 11B Vision Instruct	Meta	0.015	0.025	131K	16K	N/A	N/A
Llama 3.2 1B	Meta	0.05	0.05	131K	8K	N/A	N/A
Llama 3.2 3B	Meta	0.04	0.075	131K	8K	N/A	N/A
Llama 3.2 90B	Meta	0.72	0.72	128K	8K	N/A	N/A
Llama 3.2 90B Instruct	Meta	2.00	2.00	128K	4K	N/A	N/A
Llama 3.2 90B Vision Instruct	Meta	0.9	0.9	128K	16K	N/A	N/A
Llama 3.3 70B	Meta	0.36	0.36	128K	16K	N/A	N/A
Llama 3.3 70B Instruct FP8 Fast	Meta	0.293	2.25	24K	N/A	N/A	N/A
Llama 3.3 70B Instruct Turbo	Meta	0.1	0.32	131K	N/A	N/A	N/A
Llama 3.3 70B Maverick	Meta	N/A	N/A	N/A	N/A	N/A	N/A
Llama 4 17B 128E Instruct	Meta	0.72	0.72	1.0M	8K	N/A	N/A
Llama 4 17B 16E Instruct	Meta	0.72	0.72	10.5M	8K	N/A	N/A
Llama 4 17B Maverick	Meta	0.25	1.00	N/A	N/A	N/A	N/A
Llama 4 17B Maverick Instruct	Meta	0.05	0.1	1.0M	16K	N/A	N/A
Llama 4 17B Scout Instruct	Meta	0.05	0.1	10.0M	16K	N/A	N/A
Llama 4 Maverick 17B	Meta	0.35	1.40	128K	N/A	N/A	N/A
Llama 4 Maverick 17B Instruct	Meta	0.24	0.97	128K	4K	N/A	N/A
Llama 4 Maverick Instruct	Meta	0.22	0.88	131K	N/A	N/A	N/A
Llama 4 Scout 17B Instruct	Meta	0.17	0.66	10.0M	4K	N/A	N/A
Llama 4 Scout Instruct	Meta	0.15	0.6	131K	N/A	N/A	N/A
Llama Guard 7B	Meta	0.2	0.2	4K	4K	N/A	N/A
Llama Prompt Guard 2 22M	Meta	0.03	0.03	512	512	N/A	N/A
Llama Prompt Guard 2 86M	Meta	0.04	0.04	512	512	N/A	N/A
LlamaGuard 2 8B	Meta	0.2	0.2	8K	8K	N/A	N/A
LlamaGuard 3 11B Vision	Meta	0.35	0.35	128K	N/A	N/A	N/A
LlamaGuard 3 1B	Meta	0.1	0.1	131K	N/A	N/A	N/A
LlamaGuard 3 8B	Meta	0.055	0.03	131K	16K	N/A	N/A
LlamaGuard 4 12B	Meta	0.18	0.18	1.0M	16K	N/A	N/A
M2M100 1.2B	Meta	0.342	0.342	N/A	N/A	N/A	N/A
Muse Glimmer 30B	Meta	0.3	1.20	131K	118K	N/A	N/A
Muse Image 1.0	Meta	N/A	N/A	N/A	N/A	N/A	N/A
Muse Spark 1.2 Contributor	Meta	0.1	0.2	1.0M	944K	N/A	N/A

AI Model Comparison