LLM Pricing

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T	U	V	W
1	👋 See also...	OpenAI	Pricing		Anthropic		(Beta)		Google	Vertex AI			AWS Bedrock								Groq
2	$ per 1M Tokens	gpt-5 nano	gpt-5 mini	gpt 5	Haiku 3.5	Sonnet 4	Sonnet 4 200K-1M	Opus 4.1	Gemini 2.5 Flash-Lite	Gemini 2.5 Flash	Gemini 2.5 Pro <=200K	Gemini 2.5 Pro >200K	Nova Micro	Nova Lite	Nova Pro	Nova Premier	DeepSeek-R1	Llama 3.3 70B	Llama 4 Scout 17B	Llama 4 Maverick 17B	DeepSeek R170B	Qwen QwQ 32B	Llama 4 Maverick

3	Input	$0.050	$0.250	$1.250	$0.800	$3.000	$6.000	$15.000	$0.100	$0.300	$1.250	$2.500	$0.03500	$0.06000	$0.800	$2.500	$1.350	$0.720	$0.170	$0.240	$0.750	$0.290	$0.200
4	Output	$0.400	$2.000	$10.000	$4.000	$15.000	$22.500	$75.000	$0.400	$2.500	$10.000	$15.000	$0.14000	$0.24000	$3.200	$12.500	$5.400	$0.720	$0.660	$0.970	$0.990	$0.390	$0.600
5	Context Tokens	400,000	400,000	400,000	200,000	200,000	1,000,000	200,000	1,000,000	1,000,000	200,000	1,000,000	128,000	300,000	300,000	1,000,000	128,000	128,000	128,000	128,000	128,000	128,000	128,000
6	Output Tokens	128,000	128,000	128,000	8,192	128,000	128,000	128,000	64,000	64,000	64,000	64,000	10,000	10,000	10,000	10,000
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8	Tokens / Word	1.35	(est)
9	Cost for N words	10,000	N
10	Input	$0.001	$0.003	$0.017	$0.011	$0.041	$0.081	$0.203	$0.001	$0.004	$0.017	$0.034	$0.0005	$0.0008	$0.011	$0.034	$0.018	$0.010	$0.002	$0.003	$0.010	$0.004	$0.003
11	Output	$0.005	$0.027	$0.135	$0.054	$0.203	$0.304	$1.013	$0.005	$0.034	$0.135	$0.203	$0.002	$0.003	$0.043	$0.169	$0.073	$0.010	$0.009	$0.013	$0.013	$0.005	$0.008
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13	Relative Pricing
14	(Column/Row)%
15	Input
16	gpt-5 nano	1.000	5.000	25.000	16.000	60.000	120.000	300.000	2.000	6.000	25.000	50.000	0.700	1.200	16.000	50.000	27.000	14.400	3.400	4.800	15.000	5.800	4.000
17	gpt-5 mini	0.200	1.000	5.000	3.200	12.000	24.000	60.000	0.400	1.200	5.000	10.000	0.140	0.240	3.200	10.000	5.400	2.880	0.680	0.960	3.000	1.160	0.800
18	gpt 5	0.040	0.200	1.000	0.640	2.400	4.800	12.000	0.080	0.240	1.000	2.000	0.028	0.048	0.640	2.000	1.080	0.576	0.136	0.192	0.600	0.232	0.160
19	Haiku 3.5	0.063	0.313	1.563	1.000	3.750	7.500	18.750	0.125	0.375	1.563	3.125	0.044	0.075	1.000	3.125	1.688	0.900	0.213	0.300	0.938	0.363	0.250
20	Sonnet 4	0.017	0.083	0.417	0.267	1.000	2.000	5.000	0.033	0.100	0.417	0.833	0.012	0.020	0.267	0.833	0.450	0.240	0.057	0.080	0.250	0.097	0.067
21	Sonnet 4 200K-1M	0.008	0.042	0.208	0.133	0.500	1.000	2.500	0.017	0.050	0.208	0.417	0.006	0.010	0.133	0.417	0.225	0.120	0.028	0.040	0.125	0.048	0.033
22	Opus 4.1	0.003	0.017	0.083	0.053	0.200	0.400	1.000	0.007	0.020	0.083	0.167	0.002	0.004	0.053	0.167	0.090	0.048	0.011	0.016	0.050	0.019	0.013
23	Gemini 2.5 Flash-Lite	0.500	2.500	12.500	8.000	30.000	60.000	150.000	1.000	3.000	12.500	25.000	0.350	0.600	8.000	25.000	13.500	7.200	1.700	2.400	7.500	2.900	2.000
24	Gemini 2.5 Flash	0.167	0.833	4.167	2.667	10.000	20.000	50.000	0.333	1.000	4.167	8.333	0.117	0.200	2.667	8.333	4.500	2.400	0.567	0.800	2.500	0.967	0.667
25	Gemini 2.5 Pro <=200K	0.040	0.200	1.000	0.640	2.400	4.800	12.000	0.080	0.240	1.000	2.000	0.028	0.048	0.640	2.000	1.080	0.576	0.136	0.192	0.600	0.232	0.160
26	Gemini 2.5 Pro >200K	0.020	0.100	0.500	0.320	1.200	2.400	6.000	0.040	0.120	0.500	1.000	0.014	0.024	0.320	1.000	0.540	0.288	0.068	0.096	0.300	0.116	0.080
27	Nova Micro	1.429	7.143	35.714	22.857	85.714	171.429	428.571	2.857	8.571	35.714	71.429	1.000	1.714	22.857	71.429	38.571	20.571	4.857	6.857	21.429	8.286	5.714
28	Nova Lite	0.833	4.167	20.833	13.333	50.000	100.000	250.000	1.667	5.000	20.833	41.667	0.583	1.000	13.333	41.667	22.500	12.000	2.833	4.000	12.500	4.833	3.333
29	Nova Pro	0.063	0.313	1.563	1.000	3.750	7.500	18.750	0.125	0.375	1.563	3.125	0.044	0.075	1.000	3.125	1.688	0.900	0.213	0.300	0.938	0.363	0.250
30	Nova Premier	0.020	0.100	0.500	0.320	1.200	2.400	6.000	0.040	0.120	0.500	1.000	0.014	0.024	0.320	1.000	0.540	0.288	0.068	0.096	0.300	0.116	0.080
31	DeepSeek-R1	0.037	0.185	0.926	0.593	2.222	4.444	11.111	0.074	0.222	0.926	1.852	0.026	0.044	0.593	1.852	1.000	0.533	0.126	0.178	0.556	0.215	0.148
32	Llama 3.3 70B	0.069	0.347	1.736	1.111	4.167	8.333	20.833	0.139	0.417	1.736	3.472	0.049	0.083	1.111	3.472	1.875	1.000	0.236	0.333	1.042	0.403	0.278
33	Llama 4 Scout 17B	0.294	1.471	7.353	4.706	17.647	35.294	88.235	0.588	1.765	7.353	14.706	0.206	0.353	4.706	14.706	7.941	4.235	1.000	1.412	4.412	1.706	1.176
34	Llama 4 Maverick 17B	0.208	1.042	5.208	3.333	12.500	25.000	62.500	0.417	1.250	5.208	10.417	0.146	0.250	3.333	10.417	5.625	3.000	0.708	1.000	3.125	1.208	0.833
35	DeepSeek R170B	0.067	0.333	1.667	1.067	4.000	8.000	20.000	0.133	0.400	1.667	3.333	0.047	0.080	1.067	3.333	1.800	0.960	0.227	0.320	1.000	0.387	0.267
36	Qwen QwQ 32B	0.172	0.862	4.310	2.759	10.345	20.690	51.724	0.345	1.034	4.310	8.621	0.121	0.207	2.759	8.621	4.655	2.483	0.586	0.828	2.586	1.000	0.690
37	Llama 4 Maverick	0.250	1.250	6.250	4.000	15.000	30.000	75.000	0.500	1.500	6.250	12.500	0.175	0.300	4.000	12.500	6.750	3.600	0.850	1.200	3.750	1.450	1.000
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43	Output
44	gpt-5 nano	1.000	5.000	25.000	10.000	37.500	56.250	187.500	1.000	6.250	25.000	37.500	0.350	0.600	8.000	31.250	13.500	1.800	1.650	2.425	2.475	0.975	1.500
45	gpt-5 mini	0.200	1.000	5.000	2.000	7.500	11.250	37.500	0.200	1.250	5.000	7.500	0.070	0.120	1.600	6.250	2.700	0.360	0.330	0.485	0.495	0.195	0.300
46	gpt 5	0.040	0.200	1.000	0.400	1.500	2.250	7.500	0.040	0.250	1.000	1.500	0.014	0.024	0.320	1.250	0.540	0.072	0.066	0.097	0.099	0.039	0.060
47	Haiku 3.5	0.100	0.500	2.500	1.000	3.750	5.625	18.750	0.100	0.625	2.500	3.750	0.035	0.060	0.800	3.125	1.350	0.180	0.165	0.243	0.248	0.098	0.150
48	Sonnet 4	0.027	0.133	0.667	0.267	1.000	1.500	5.000	0.027	0.167	0.667	1.000	0.009	0.016	0.213	0.833	0.360	0.048	0.044	0.065	0.066	0.026	0.040
49	Sonnet 4 200K-1M	0.018	0.089	0.444	0.178	0.667	1.000	3.333	0.018	0.111	0.444	0.667	0.006	0.011	0.142	0.556	0.240	0.032	0.029	0.043	0.044	0.017	0.027
50	Opus 4.1	0.005	0.027	0.133	0.053	0.200	0.300	1.000	0.005	0.033	0.133	0.200	0.002	0.003	0.043	0.167	0.072	0.010	0.009	0.013	0.013	0.005	0.008
51	Gemini 2.5 Flash-Lite	1.000	5.000	25.000	10.000	37.500	56.250	187.500	1.000	6.250	25.000	37.500	0.350	0.600	8.000	31.250	13.500	1.800	1.650	2.425	2.475	0.975	1.500
52	Gemini 2.5 Flash	0.160	0.800	4.000	1.600	6.000	9.000	30.000	0.160	1.000	4.000	6.000	0.056	0.096	1.280	5.000	2.160	0.288	0.264	0.388	0.396	0.156	0.240
53	Gemini 2.5 Pro <=200K	0.040	0.200	1.000	0.400	1.500	2.250	7.500	0.040	0.250	1.000	1.500	0.014	0.024	0.320	1.250	0.540	0.072	0.066	0.097	0.099	0.039	0.060
54	Gemini 2.5 Pro >200K	0.027	0.133	0.667	0.267	1.000	1.500	5.000	0.027	0.167	0.667	1.000	0.009	0.016	0.213	0.833	0.360	0.048	0.044	0.065	0.066	0.026	0.040
55	Nova Micro	2.857	14.286	71.429	28.571	107.143	160.714	535.714	2.857	17.857	71.429	107.143	1.000	1.714	22.857	89.286	38.571	5.143	4.714	6.929	7.071	2.786	4.286
56	Nova Lite	1.667	8.333	41.667	16.667	62.500	93.750	312.500	1.667	10.417	41.667	62.500	0.583	1.000	13.333	52.083	22.500	3.000	2.750	4.042	4.125	1.625	2.500
57	Nova Pro	0.125	0.625	3.125	1.250	4.688	7.031	23.438	0.125	0.781	3.125	4.688	0.044	0.075	1.000	3.906	1.688	0.225	0.206	0.303	0.309	0.122	0.188
58	Nova Premier	0.032	0.160	0.800	0.320	1.200	1.800	6.000	0.032	0.200	0.800	1.200	0.011	0.019	0.256	1.000	0.432	0.058	0.053	0.078	0.079	0.031	0.048
59	DeepSeek-R1	0.074	0.370	1.852	0.741	2.778	4.167	13.889	0.074	0.463	1.852	2.778	0.026	0.044	0.593	2.315	1.000	0.133	0.122	0.180	0.183	0.072	0.111
60	Llama 3.3 70B	0.556	2.778	13.889	5.556	20.833	31.250	104.167	0.556	3.472	13.889	20.833	0.194	0.333	4.444	17.361	7.500	1.000	0.917	1.347	1.375	0.542	0.833
61	Llama 4 Scout 17B	0.606	3.030	15.152	6.061	22.727	34.091	113.636	0.606	3.788	15.152	22.727	0.212	0.364	4.848	18.939	8.182	1.091	1.000	1.470	1.500	0.591	0.909
62	Llama 4 Maverick 17B	0.412	2.062	10.309	4.124	15.464	23.196	77.320	0.412	2.577	10.309	15.464	0.144	0.247	3.299	12.887	5.567	0.742	0.680	1.000	1.021	0.402	0.619
63	DeepSeek R170B	0.404	2.020	10.101	4.040	15.152	22.727	75.758	0.404	2.525	10.101	15.152	0.141	0.242	3.232	12.626	5.455	0.727	0.667	0.980	1.000	0.394	0.606
64	Qwen QwQ 32B	1.026	5.128	25.641	10.256	38.462	57.692	192.308	1.026	6.410	25.641	38.462	0.359	0.615	8.205	32.051	13.846	1.846	1.692	2.487	2.538	1.000	1.538
65	Llama 4 Maverick	0.667	3.333	16.667	6.667	25.000	37.500	125.000	0.667	4.167	16.667	25.000	0.233	0.400	5.333	20.833	9.000	1.200	1.100	1.617	1.650	0.650	1.000
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