How Many AI Tokens Can I Get for My Budget?

Enter a monthly dollar amount and instantly see how many tokens each AI model gives you. Last updated: 2026-08-31

How far does my AI budget go? Different models have wildly different per-token rates. A $50 monthly budget buys you about 2,500 million input tokens on Llama 3.1 8B Instruct but only about 2 million on GPT-5.4 Pro. This calculator divides your budget by each model's input and output rates and ranks every model by total token allowance, so you can find the best bang for your buck.

Your Budget

Monthly Budget ($)

Focus Model (optional)

Budget Split

$25.00 input / $25.00 output

Token Allowance per Model — $50.00/mo Budget

Sorted by total tokens (most to least). Split: 50% input / 50% output.

#	Model	Provider	Input Tokens	Output Tokens	Total Tokens
1	Embed v3 English	cohere	250.0M	InfinityB	InfinityB
2	Embed v3 Multilingual	cohere	250.0M	InfinityB	InfinityB
3	Rerank v3	cohere	12.5M	InfinityB	InfinityB
4	Llama 3.1 8B Instruct	novita	1.3B	500.0M	1.8B
5	DeepSeek-OCR 2	novita	833.3M	833.3M	1.7B
6	LFM2 24B A2B	together	833.3M	208.3M	1.0B
7	Qwen3.5 4B	castform	833.3M	166.7M	1.0B
8	AutoGLM-Phone-9B-Multilingual	novita	714.3M	181.2M	895.4M
9	Command R7B	cohere	666.7M	166.7M	833.3M
10	Llama 3.1 8B Instant	groq	500.0M	312.5M	812.5M
11	Mistral NeMo	novita	625.0M	147.1M	772.1M
12	Gemma 3n E4B Instruct	together	416.7M	208.3M	625.0M
13	GPT-OSS 20B	together	500.0M	125.0M	625.0M
14	GPT-5 nano	openai	500.0M	62.5M	562.5M
15	Ministral 3B	mistral	250.0M	250.0M	500.0M
16	Qwen3 Coder 30B A3B Instruct	novita	357.1M	92.6M	449.7M
17	GLM 5.3 Flash	novita	333.3M	100.0M	433.3M
18	GLM-4.7-Flash	novita	357.1M	62.5M	419.6M
19	Gemini 2.0 Flash-Lite	google	333.3M	83.3M	416.7M
20	GPT-OSS 20B	groq	333.3M	83.3M	416.7M
21	GPT-OSS Safeguard 20B	groq	333.3M	83.3M	416.7M
22	Llama 3 8B Instruct Lite	together	178.6M	178.6M	357.1M
23	Devstral Small 2	mistral	250.0M	83.3M	333.3M
24	Llama 4 Scout	together	250.0M	83.3M	333.3M
25	Ministral 8B	mistral	166.7M	166.7M	333.3M
26	Mistral NeMo	mistral	166.7M	166.7M	333.3M
27	Pixtral 12B	mistral	166.7M	166.7M	333.3M
28	RNJ-1 Instruct	together	166.7M	166.7M	333.3M
29	Qwen3 235B A22B Instruct 2507	novita	277.8M	43.1M	320.9M
30	Gemini 2.0 Flash	google	250.0M	62.5M	312.5M
31	Gemini 2.5 Flash-Lite	google	250.0M	62.5M	312.5M
32	GPT-4.1 nano	openai	250.0M	62.5M	312.5M
33	Llama 4 Scout 17B 16E Instruct	groq	227.3M	73.5M	300.8M
34	DeepSeek V4 Flash	novita	178.6M	89.3M	267.9M
35	Ministral 14B	mistral	125.0M	125.0M	250.0M
36	Llama 3.3 70B Instruct	novita	185.2M	62.5M	247.7M
37	Qwen3.5 9B	together	147.1M	100.0M	247.1M
38	GLM-4.5 Air	novita	192.3M	29.4M	221.7M
39	Qwen3.8 Flash	novita	166.7M	53.2M	219.9M
40	Qwen3.8-Flash	alibaba	156.3M	53.2M	209.4M
41	Command R 08-2024	cohere	166.7M	41.7M	208.3M
42	GPT-4o mini	openai	166.7M	41.7M	208.3M
43	GPT-OSS 120B	groq	166.7M	41.7M	208.3M
44	GPT-OSS 120B	together	166.7M	41.7M	208.3M
45	Llama 4 Maverick	together	166.7M	41.7M	208.3M
46	Mistral Small 4	mistral	166.7M	41.7M	208.3M
47	Mistral 7B	mistral	100.0M	100.0M	200.0M
48	Qwen3 Next 80B A3B Instruct	novita	166.7M	16.7M	183.3M
49	Llama 4 Scout Instruct	novita	138.9M	42.4M	181.3M
50	Grok 4.1 Fast Non-Reasoning	xai	125.0M	50.0M	175.0M
51	Grok 4.1 Fast Reasoning	xai	125.0M	50.0M	175.0M
52	Qwen2.5 7B Instruct Turbo	together	83.3M	83.3M	166.7M
53	Qwen3 235B A22B Instruct 2507	together	125.0M	41.7M	166.7M
54	Qwen3 VL 30B A3B Instruct	novita	125.0M	35.7M	160.7M
55	Qwen3 235B A22B	novita	125.0M	31.3M	156.3M
56	DeepSeek V3.2	novita	92.9M	62.5M	155.4M
57	DeepSeek V3.2 Exp	novita	92.6M	61.0M	153.6M
58	DeepSeek V4 Flash 0731	deepseek	113.6M	37.9M	151.5M
59	GPT-5.6 Luna	openai	125.0M	20.8M	145.8M
60	GPT-5.4 nano	openai	125.0M	20.0M	145.0M
61	Qwen3 Coder Next	novita	125.0M	16.7M	141.7M
62	Qwen MT Plus	novita	100.0M	33.3M	133.3M
63	Qwen3 32B	groq	86.2M	42.4M	128.6M
64	Qwen 2.5 72B Instruct	novita	65.8M	62.5M	128.3M
65	Llama 4 Maverick Instruct	novita	92.6M	29.4M	122.0M
66	Gemma 4 31B IT Pearl	together	89.3M	29.1M	118.4M
67	Qwen3.6-35B-A3B	novita	100.8M	16.8M	117.6M
68	DeepSeek V3.1	novita	92.6M	25.0M	117.6M
69	DeepSeek V3.1 Terminus	novita	92.6M	25.0M	117.6M
70	Gemini 3.1 Flash-Lite	google	100.0M	16.7M	116.7M
71	Qwen3.6-Flash	alibaba	100.0M	16.7M	116.7M
72	DeepSeek V3 0324	novita	92.6M	22.3M	114.9M
73	GPT-5 mini	openai	100.0M	12.5M	112.5M
74	Qwen3.5-35B-A3B	novita	100.0M	12.5M	112.5M
75	Codestral	mistral	83.3M	27.8M	111.1M
76	GLM-4.6V	novita	83.3M	27.8M	111.1M
77	MiniMax M2	novita	83.3M	20.8M	104.2M
78	MiniMax M2.1	novita	83.3M	20.8M	104.2M
79	MiniMax M2.5	together	83.3M	20.8M	104.2M
80	MiniMax M2.5	novita	83.3M	20.8M	104.2M
81	MiniMax M2.7	together	83.3M	20.8M	104.2M
82	MiniMax M2.7	novita	83.3M	20.8M	104.2M
83	MiniMax M3	minimax	83.3M	20.8M	104.2M
84	MiniMax M3	together	83.3M	20.8M	104.2M
85	Qwen3 VL 235B A22B Instruct	novita	83.3M	16.7M	100.0M
86	Qwen3.7-Plus	alibaba	78.1M	19.5M	97.7M
87	Qwen3.5-27B	novita	83.3M	10.4M	93.8M
88	Gemini 2.5 Flash	google	83.3M	10.0M	93.3M
89	Gemini 3.5 Flash-Lite	google	83.3M	10.0M	93.3M
90	Qwen3 235B A22B Thinking 2507	novita	83.3M	8.3M	91.7M
91	Gemma 4 31B IT	together	64.1M	25.8M	89.9M
92	Qwen3 Coder 480B A35B Instruct	novita	65.8M	16.1M	81.9M
93	DeepSeek V3 (Turbo)	novita	62.5M	19.2M	81.7M
94	GPT-4.1 mini	openai	62.5M	15.6M	78.1M
95	DeepSeek V4 Flash 0731	novita	56.8M	18.9M	75.8M
96	Devstral Medium 2	mistral	62.5M	12.5M	75.0M
97	Mistral Medium 3	mistral	62.5M	12.5M	75.0M
98	Llama 3.3 70B Versatile	groq	42.4M	31.6M	74.0M
99	Mixtral 8x7B	mistral	35.7M	35.7M	71.4M
100	Qwen3.5-122B-A10B	novita	62.5M	7.8M	70.3M
101	Qwen3.8 27B	novita	59.5M	8.3M	67.9M
102	gpt-3.5-turbo	openai	50.0M	16.7M	66.7M
103	gpt-3.5-turbo-0125	openai	50.0M	16.7M	66.7M
104	Magistral Small	mistral	50.0M	16.7M	66.7M
105	Mistral Large 3	mistral	50.0M	16.7M	66.7M
106	DeepSeek R1 Distill Llama 70B	novita	31.3M	31.3M	62.5M
107	Gemini 3 Flash	google	50.0M	8.3M	58.3M
108	GLM-4.6	novita	45.5M	11.4M	56.8M
109	MiniMax M1	novita	45.5M	11.4M	56.8M
110	DeepSeek V3.1	together	41.7M	14.7M	56.4M
111	GLM-4.5V	novita	41.7M	13.9M	55.6M
112	Kimi K2 Instruct	novita	43.9M	10.9M	54.7M
113	GLM-4.7	novita	41.7M	11.4M	53.0M
114	MiniMax M2.5 Highspeed	novita	41.7M	10.4M	52.1M
115	Kimi K2 0905	novita	41.7M	10.0M	51.7M
116	Kimi K2 Thinking	novita	41.7M	10.0M	51.7M
117	DeepSeek V4 Pro 0813	deepseek	37.9M	12.6M	50.5M
118	Kimi K2.5	novita	41.7M	8.3M	50.0M
119	Sonar	perplexity	25.0M	25.0M	50.0M
120	Nemotron 3 Ultra 550B A55B	together	41.7M	6.9M	48.6M
121	Qwen3.5 397B A17B	together	41.7M	6.9M	48.6M
122	Qwen3.5-397B-A17B	novita	41.7M	6.9M	48.6M
123	Qwen3.6-27B	novita	41.7M	6.9M	48.6M
124	Llama 3.3 70B	together	24.0M	24.0M	48.1M
125	DeepSeek R1 (Turbo)	novita	35.7M	10.0M	45.7M
126	DeepSeek R1 0528	novita	35.7M	10.0M	45.7M
127	Mixtral 8x22B	together	20.8M	20.8M	41.7M
128	Qwen 2.5 72B	together	20.8M	20.8M	41.7M
129	Cogito v2.1 671B	together	20.0M	20.0M	40.0M
130	DeepSeek V3	together	20.0M	20.0M	40.0M
131	Gemini 3.6 Flash	google	33.3M	6.7M	40.0M
132	Gemini 3.7 Flash	google	33.3M	6.7M	40.0M
133	GPT-5.4 mini	openai	33.3M	5.6M	38.9M
134	Kimi K2.6	novita	31.3M	7.4M	38.6M
135	gpt-3.5-turbo-1106	openai	25.0M	12.5M	37.5M
136	Grok Build 0.1	xai	25.0M	12.5M	37.5M
137	GLM-5	together	25.0M	7.8M	32.8M
138	GLM-5	novita	25.0M	7.8M	32.8M
139	Kimi K2.7 Code	together	26.3M	6.3M	32.6M
140	Kimi K2.7 Code	novita	26.3M	6.3M	32.6M
141	Qwen3 VL 235B A22B Thinking	novita	25.5M	6.3M	31.8M
142	Claude Haiku 4.5	anthropic	25.0M	5.0M	30.0M
143	Grok 4.20 0309 Non-Reasoning	xai	20.0M	10.0M	30.0M
144	Grok 4.20 0309 Reasoning	xai	20.0M	10.0M	30.0M
145	Grok 4.20 Multi-Agent 0309	xai	20.0M	10.0M	30.0M
146	Grok 4.3	xai	20.0M	10.0M	30.0M
147	gpt-3.5-turbo-instruct	openai	16.7M	12.5M	29.2M
148	o3-mini	openai	22.7M	5.7M	28.4M
149	o4-mini	openai	22.7M	5.7M	28.4M
150	Qwen3.7-Max	alibaba	20.0M	6.7M	26.7M
151	Qwen3.7-Max	novita	20.0M	6.7M	26.7M
152	Kimi K2.6	together	20.8M	5.6M	26.4M
153	DeepSeek V4 Pro 0813	novita	18.9M	6.3M	25.3M
154	GLM-5.1	novita	18.1M	5.7M	23.8M
155	GLM 5.3	novita	17.9M	5.7M	23.5M
156	GLM-5.1	together	17.9M	5.7M	23.5M
157	GLM-5.2	together	17.9M	5.7M	23.5M
158	GLM-5.2	zai	17.9M	5.7M	23.5M
159	GLM-5.2	novita	17.9M	5.7M	23.5M
160	GLM-5.3	zai	17.9M	5.7M	23.5M
161	DeepSeek V4 Pro	novita	15.6M	7.8M	23.4M
162	Gemini 2.5 Pro	google	20.0M	2.5M	22.5M
163	GPT-5	openai	20.0M	2.5M	22.5M
164	GPT-5.1	openai	20.0M	2.5M	22.5M
165	DeepSeek V4 Pro	together	14.4M	7.2M	21.6M
166	Mistral Medium 3.5	mistral	16.7M	3.3M	20.0M
167	Gemini 3.5 Flash	google	16.7M	2.8M	19.4M
168	Magistral Medium	mistral	12.5M	5.0M	17.5M
169	Grok 4.5	xai	12.5M	4.2M	16.7M
170	Grok 4.6	xai	12.5M	4.2M	16.7M
171	Mixtral 8x22B	mistral	12.5M	4.2M	16.7M
172	Pixtral Large	mistral	12.5M	4.2M	16.7M
173	Qwen3.8 2.4T A95B	novita	12.5M	4.2M	16.7M
174	Qwen3.8 Max	novita	12.5M	4.2M	16.7M
175	GPT-5.2	openai	14.3M	1.8M	16.1M
176	GPT-4.1	openai	12.5M	3.1M	15.6M
177	o3	openai	12.5M	3.1M	15.6M
178	Sonar Deep Research	perplexity	12.5M	3.1M	15.6M
179	Sonar Reasoning Pro	perplexity	12.5M	3.1M	15.6M
180	Claude Sonnet 5	anthropic	12.5M	2.5M	15.0M
181	Gemini 3 Pro	google	12.5M	2.1M	14.6M
182	Gemini 3.1 Pro	google	12.5M	2.1M	14.6M
183	GPT-5.6 Terra	openai	12.5M	2.1M	14.6M
184	Llama 3.1 405B	together	7.1M	7.1M	14.3M
185	Command A	cohere	10.0M	2.5M	12.5M
186	Command R+ 08-2024	cohere	10.0M	2.5M	12.5M
187	GPT-4o	openai	10.0M	2.5M	12.5M
188	DeepSeek R1	together	8.3M	3.6M	11.9M
189	Gemini 2.5 Pro (>200k tokens)	google	10.0M	1.7M	11.7M
190	GPT-5.4	openai	10.0M	1.7M	11.7M
191	Kimi K3	telnyx	9.3M	1.9M	11.1M
192	Mistral Large	together	8.3M	2.8M	11.1M
193	Claude Sonnet 4	anthropic	8.3M	1.7M	10.0M
194	Claude Sonnet 4.5	anthropic	8.3M	1.7M	10.0M
195	Claude Sonnet 4.6	anthropic	8.3M	1.7M	10.0M
196	Kimi K3	moonshot	8.3M	1.7M	10.0M
197	Kimi K3	novita	8.3M	1.7M	10.0M
198	Sonar Pro	perplexity	8.3M	1.7M	10.0M
199	GPT-5.6 Sol	openai	6.3M	1.3M	7.5M
200	gpt-4o-2024-05-13	openai	5.0M	1.7M	6.7M
201	Claude Opus 4.5	anthropic	5.0M	1.0M	6.0M
202	Claude Opus 4.6	anthropic	5.0M	1.0M	6.0M
203	Claude Opus 4.7	anthropic	5.0M	1.0M	6.0M
204	Claude Opus 4.8	anthropic	5.0M	1.0M	6.0M
205	Claude Opus 5	anthropic	5.0M	1.0M	6.0M
206	GPT-5.5	openai	5.0M	833.3K	5.8M
207	gpt-4-turbo-2024-04-09	openai	2.5M	833.3K	3.3M
208	Claude Fable 5	anthropic	2.5M	500.0K	3.0M
209	Claude Mythos 5	anthropic	2.5M	500.0K	3.0M
210	GPT-5.5 Cyber	openai	2.0M	333.3K	2.3M
211	GPT-5.6 Cyber	openai	2.0M	333.3K	2.3M
212	o1	openai	1.7M	416.7K	2.1M
213	Claude Opus 4	anthropic	1.7M	333.3K	2.0M
214	Claude Opus 4.1	anthropic	1.7M	333.3K	2.0M
215	GPT-5 Pro	openai	1.7M	208.3K	1.9M
216	o3-pro	openai	1.3M	312.5K	1.6M
217	GPT-5.2 Pro	openai	1.2M	148.8K	1.3M
218	gpt-4-0613	openai	833.3K	416.7K	1.3M
219	GPT-5.4 Pro	openai	833.3K	138.9K	972.2K
220	GPT-5.5 Pro	openai	833.3K	138.9K	972.2K

220 models compared at $50.00/mo budget

How does this calculator work?

Enter your monthly budget — the total dollar amount you want to spend on AI API calls per month.
Optionally select a focus model — highlights that model in the table and shows a detailed breakdown.
Choose a budget split — decide how to allocate between input and output tokens (50/50, 80/20, or 20/80).
Compare the table — models are ranked from most tokens to least, so the best-value models appear first.

Methodology

Token allowance is calculated by inverting the standard cost formula:

input_tokens = (budget × split_ratio / input_rate_per_M) × 1,000,000

output_tokens = (budget × (1 - split_ratio) / output_rate_per_M) × 1,000,000

The budget split controls what fraction of your monthly spend goes toward input vs output tokens. For most chat use cases, 50/50 is a reasonable default. If you send long prompts with short replies, use 80/20. If you request long-form content generation, use 20/80.

All rates come from our daily-updated pricing database. Models with $0 rates (free tiers) are excluded from ranking.

Does the budget only work at huge volume? If your workload is steady enough to keep GPUs busy, compare API spend with the GPU break-even guide, then test RunPod pricing against your real throughput.

The RunPod route may show a $5 referral credit after the first $10 added, but verify current terms and normal hourly pricing before treating it as part of your budget.

Affiliate disclosure: this link may earn us a commission at no extra cost to you. It does not affect token allowance rankings.