What is the cheapest AI model for chat?

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.

How much does GPT-4 cost?

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.

What is the difference between input and output tokens?

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.

Which AI model has the largest context window?

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.

What does 'supports vision' mean for AI models?

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.

AI Models Pricing & Benchmarks Comparison - 1900+ LLM Models

Compare AI model pricing and benchmarks across providers including OpenAI, Anthropic, Google, Amazon Bedrock, Azure, Mistral, and more. Filter by model capabilities like vision, function calling, and reasoning support. Find the most cost-effective model for your use case. Currently tracking 2,565 models across 98 providers. Last update: April 23, 2026 at 12:00 AM UTC

Model	Creator	Input Price, $	Output Price, $	Inference Providers	Context	Max Output	Intelligence	Coding
Kimi K2.6	Moonshot AI (Kimi)	0.750	3.50	compare (4)	262K	N/A	53.9#1	47.1#1
GLM-5.1	Zhipu AI	1.05	3.50	compare (3)	203K	66K	51.4#2	43.4#3
GLM-5	Zhipu AI	0.573	2.08	compare (9)	203K	131K	49.8#3	44.2#2
MiniMax M2.7	MiniMax	0.300	1.20	compare (3)	205K	131K	49.6#4	41.9#4
Kimi K2.5	Moonshot AI (Kimi)	0.440	2.00	compare (11)	262K	98K	46.8#5	39.5#6
Qwen3.5 397B A17B	Alibaba	0.390	2.34	compare (4)	262K	66K	45.0#6	41.3#5
Qwen3.5 27B	Alibaba	0.195	1.56	compare (2)	262K	66K	42.1#7	34.9#9
GLM-4.7	Zhipu AI	0.380	1.74	compare (13)	205K	131K	42.1#8	36.3#8
MiniMax M2.5	MiniMax	0.150	1.20	compare (7)	1.0M	131K	41.9#9	37.4#7
Qwen3.5 122B A10B	Alibaba	0.260	2.08	compare (3)	262K	66K	41.6#10	34.7#11
Kimi K2 Thinking	Moonshot AI (Kimi)	0.574	1.20	compare (13)	262K	33K	40.9#11	34.8#10
MiniMax M2.1	MiniMax	0.290	0.950	compare (8)	1.0M	131K	39.4#12	32.8#13
Qwen3.5 35B A3B	Alibaba	0.163	1.30	compare (2)	262K	66K	37.1#13	30.3#15
MiniMax M2	MiniMax	0.255	1.00	compare (9)	205K	131K	36.1#14	29.2#17
GPT OSS 120B	OpenAI	0.039	0.190	compare (20)	131K	131K	33.3#15	28.6#18
Qwen3.5 9B	Alibaba	0.100	0.150	compare (2)	262K	N/A	32.4#16	25.3#23
DeepSeek V3.2	DeepSeek	0.252	0.378	compare (12)	164K	66K	32.1#17	34.6#12
MiMo V2 Flash	Xiaomi	0.090	0.290	compare (4)	262K	66K	30.4#18	25.8#22
GLM-4.6	Zhipu AI	0.390	1.90	compare (10)	205K	131K	30.2#19	30.2#16
GLM-4.7 Flash	Zhipu AI	0.060	0.400	compare (4)	203K	131K	30.1#20	25.9#21
DeepSeek V3.1 Terminus	DeepSeek	0.210	0.790	compare (6)	164K	66K	28.5#21	31.9#14
Qwen3 Coder Next	Alibaba	0.150	0.800	compare (5)	262K	66K	28.3#22	22.9#26
DeepSeek V3.1	DeepSeek	0.135	0.500	compare (14)	164K	66K	28.1#23	28.4#19
GLM-4.5	Zhipu AI	0.400	1.60	compare (8)	131K	98K	26.4#24	26.3#20
Kimi K2	Moonshot AI (Kimi)	0.400	2.00	compare (4)	262K	128K	26.3#25	22.1#27
Qwen3 Coder 480B A35B Instruct	Alibaba	0.220	1.30	compare (8)	262K	66K	24.8#26	24.6#24
GPT OSS 20B	OpenAI	0.030	0.140	compare (16)	131K	131K	24.5#27	18.5#30
MiniMax M1 80k	MiniMax	0.100	0.100	compare (3)	1.0M	40K	24.4#28	14.5#35
GLM-4.5 Air	Zhipu AI	0.130	0.850	compare (6)	131K	98K	23.2#29	23.8#25
DeepSeek V3 324	DeepSeek	0.200	0.400	compare (12)	164K	16K	22.3#30	22.0#28
Qwen3 VL 235B A22B Instruct	Alibaba	0.200	0.880	compare (6)	262K	33K	20.8#31	16.5#31
Qwen3 Next 80B A3B Instruct	Alibaba	0.090	0.900	compare (10)	262K	66K	20.1#32	15.3#34
Qwen3 Coder 30B A3B Instruct	Alibaba	0.070	0.260	compare (5)	262K	66K	20.0#33	19.4#29
QwQ 32B	Alibaba	0.150	0.200	compare (9)	131K	16K	19.7#34	N/A
DeepSeek R1	DeepSeek	0.280	0.400	compare (15)	164K	66K	18.8#35	15.9#33
DeepSeek R1 Distill Qwen 32B	DeepSeek	0.150	0.150	compare (7)	131K	32K	17.2#36	N/A
GLM-4.6V	Zhipu AI	0.300	0.900	compare (4)	131K	33K	17.1#37	11.1#41
Qwen3 235B A22B Instruct	Alibaba	0.090	0.580	compare (9)	262K	33K	17.0#38	14.0#38
DeepSeek V3	DeepSeek	0.200	0.200	compare (12)	164K	82K	16.5#39	16.4#32
Qwen3 VL 30B A3B Instruct	Alibaba	0.130	0.520	compare (5)	262K	33K	16.1#40	14.3#36
DeepSeek R1 Distill Llama 70B	DeepSeek	0.200	0.375	compare (11)	131K	16K	16.0#41	11.4#40
Qwen2.5 72B Instruct	Alibaba	0.120	0.300	compare (8)	131K	16K	15.6#42	11.9#39
Qwen3 30B A3B	Alibaba	0.080	0.280	compare (7)	131K	20K	15.0#43	14.2#37
Llama 3.3 70B Instruct	Meta	0.100	0.200	compare (19)	131K	120K	14.5#44	10.7#43
Qwen3 VL 8B Instruct	Alibaba	0.080	0.200	compare (5)	131K	33K	14.3#45	7.3#45
Qwen2.5 Coder 32B Instruct	Alibaba	0.050	0.100	compare (8)	131K	8K	12.9#46	N/A
GLM-4.5V	Zhipu AI	0.600	1.20	compare (6)	131K	32K	12.7#47	10.8#42
Qwen3 4B Instruct	Alibaba	0.010	0.030	compare (2)	262K	33K	12.5#48	9.1#44
DeepSeek R1 Distill Llama 8B	DeepSeek	0.025	0.025	compare (3)	131K	N/A	12.1#49	N/A
Llama 3.1 8B Instruct	Meta	0.020	0.030	compare (19)	200K	128K	11.8#50	4.9#47
Qwen2.5 Coder 7B Instruct	Alibaba	0.010	0.030	compare (4)	131K	8K	10.0#51	N/A
Mixtral 8x22B Instruct	Mistral AI	0.600	0.600	compare (6)	66K	2K	9.8#52	N/A
DeepSeek R1 Distill Qwen 1.5B	DeepSeek	0.090	0.090	compare (3)	131K	N/A	9.1#53	N/A
Llama 3 70B Instruct	Meta	0.120	0.300	compare (9)	131K	8K	8.9#54	6.8#46
Llama 3 8B Instruct	Meta	0.030	0.040	compare (9)	32K	8K	6.4#55	4.0#48
AutoGLM Phone 9B Multilingual	Zhipu AI	0.035	0.138	compare (2)	66K	N/A	N/A	N/A
DeepSeek Prover V2 671B	DeepSeek	0.700	2.50	compare (2)	160K	N/A	N/A	N/A
DeepSeek R1 528	DeepSeek	0.200	0.250	compare (11)	164K	33K	N/A	N/A
DeepSeek R1 Distill Qwen 7B	DeepSeek	0.072	0.144	compare (4)	131K	16K	N/A	N/A
DeepSeek R1 Turbo	DeepSeek	0.700	2.50	compare (3)	64K	16K	N/A	N/A
DeepSeek V3 Turbo	DeepSeek	0.400	1.30	compare (2)	64K	16K	N/A	N/A
DeepSeek V3.2 Exp	DeepSeek	0.270	0.410	compare (4)	164K	66K	N/A	N/A
DeepSeek-OCR	DeepSeek	0.030	0.030	compare (4)	8K	8K	N/A	N/A
ERNIE 4.5 21B A3B	Baidu	0.070	0.280	compare (3)	120K	8K	N/A	N/A
ERNIE 4.5 300B A47B Paddle	Baidu	0.280	1.10	compare (2)	123K	12K	N/A	N/A
ERNIE 4.5 VL 28B A3B	Baidu	0.140	0.560	compare (3)	30K	8K	N/A	N/A
ERNIE 4.5 VL 424B A47B	Baidu	0.420	1.25	compare (3)	123K	16K	N/A	N/A
Gemma 3N E4B IT	Google	0.060	0.120	compare (2)	33K	2K	N/A	N/A
Gemma 4 26B A4B IT	Google	0.070	0.340	compare (3)	262K	131K	N/A	N/A
Gemma 4 31B IT	Google	0.130	0.380	compare (3)	262K	131K	N/A	N/A
GLM-4 32B	Zhipu AI	0.100	0.100	compare (3)	128K	32K	N/A	N/A
Kimi K2 Instruct	Moonshot AI (Kimi)	0.500	2.00	compare (9)	262K	33K	N/A	N/A
L3 70B Euryale V2.1	Sao10K	1.48	1.48	compare (2)	8K	8K	N/A	N/A
L3 Lunaris 8B	Sao10K	0.040	0.050	compare (3)	8K	8K	N/A	N/A
L3 Stheno 3.2 8B	Sao10K	0.050	0.050	compare (2)	8K	N/A	N/A	N/A
Llama 3.1 8B	Meta	0.030	0.050	compare (5)	131K	8K	N/A	N/A
Llama 3.3 70B Instruct Turbo	Meta	0.130	0.390	compare (3)	131K	N/A	N/A	N/A
Llama 3.3 70B Versatile	Meta	0.590	0.790	compare (1)	N/A	N/A	N/A	N/A
Llama 4 17B Maverick Instruct	Meta	0.050	0.100	compare (9)	1.0M	16K	N/A	N/A
Llama 4 17B Scout Instruct	Meta	0.050	0.100	compare (11)	10.0M	16K	N/A	N/A
Llama 4 Maverick 17B 128E Instruct	Meta	0.630	1.80	compare (1)	N/A	N/A	N/A	N/A
LlamaGuard 4 12B	Meta	0.180	0.180	compare (4)	164K	8K	N/A	N/A
Qwen2.5 Coder 3B Instruct	Alibaba	0.010	0.030	compare (3)	33K	N/A	N/A	N/A
Qwen2.5 Turbo 7B Instruct	Alibaba	0.300	0.300	compare (1)	N/A	N/A	N/A	N/A
Qwen2.5 VL 72B Instruct	Alibaba	0.130	0.400	compare (7)	131K	8K	N/A	N/A
Qwen3 14B	Alibaba	0.060	0.200	compare (7)	131K	16K	N/A	N/A
Qwen3 235B A22B	Alibaba	0.071	0.100	compare (9)	262K	131K	N/A	N/A
Qwen3 235B A22B Instruct Tput	Alibaba	0.200	0.600	compare (2)	262K	N/A	N/A	N/A
Qwen3 235B A22B Thinking	Alibaba	0.149	0.880	compare (9)	262K	33K	N/A	N/A
Qwen3 32B	Alibaba	0.050	0.100	compare (14)	131K	20K	N/A	N/A
Qwen3 4B Thinking	Alibaba	0.010	0.030	compare (1)	N/A	N/A	N/A	N/A
Qwen3 8B	Alibaba	0.035	0.138	compare (6)	131K	20K	N/A	N/A
Qwen3 Coder 480B A35B Instruct FP8	Alibaba	2.00	2.00	compare (2)	256K	N/A	N/A	N/A
Qwen3 Next 80B A3B Thinking	Alibaba	0.098	0.780	compare (10)	262K	66K	N/A	N/A
Qwen3 VL 235B A22B Thinking	Alibaba	0.220	0.880	compare (5)	262K	33K	N/A	N/A
Qwen3 VL 30B A3B Thinking	Alibaba	0.130	0.600	compare (5)	262K	33K	N/A	N/A
Rnj 1 Instruct	Essential AI	0.150	0.150	compare (2)	33K	N/A	N/A	N/A
WizardLM 2 8x22B	Microsoft	0.480	0.480	compare (4)	66K	8K	N/A	N/A

AI Model Comparison