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: 2026-10-16

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 5 Fast	cohere	312.5M	InfinityB	InfinityB
2	Embed 5 Pro	cohere	208.3M	InfinityB	InfinityB
3	Embed v3 English	cohere	250.0M	InfinityB	InfinityB
4	Embed v3 Multilingual	cohere	250.0M	InfinityB	InfinityB
5	Rerank v3	cohere	12.5M	InfinityB	InfinityB
6	TypeSafe Jev 1.13.0	typesafe	595.2M	InfinityB	InfinityB
7	Llama 3.1 8B Instruct	novita	1.3B	500.0M	1.8B
8	DeepSeek-OCR 2	novita	833.3M	833.3M	1.7B
9	LFM2 24B A2B	together	833.3M	208.3M	1.0B
10	Llama 3 8B Lunaris	novita	500.0M	500.0M	1.0B
11	Llama 3 8B Stheno V3.2	novita	500.0M	500.0M	1.0B
12	Qwen3.5 4B	castform	833.3M	166.7M	1.0B
13	AutoGLM-Phone-9B-Multilingual	novita	714.3M	181.2M	895.4M
14	Command R7B	cohere	666.7M	166.7M	833.3M
15	Llama 3.1 8B Instant	groq	500.0M	312.5M	812.5M
16	Mistral NeMo	novita	625.0M	147.1M	772.1M
17	Gemma 3n E4B Instruct	together	416.7M	208.3M	625.0M
18	GPT-OSS 20B	together	500.0M	125.0M	625.0M
19	GPT-5 nano	openai	500.0M	62.5M	562.5M
20	Ministral 3 3B	mistral	250.0M	250.0M	500.0M
21	Qwen3 Coder 30B A3B Instruct	novita	357.1M	92.6M	449.7M
22	GLM-4.7-Flash	novita	357.1M	62.5M	419.6M
23	Gemini 2.0 Flash-Lite	google	333.3M	83.3M	416.7M
24	GPT-OSS 20B	groq	333.3M	83.3M	416.7M
25	GPT-OSS Safeguard 20B	groq	333.3M	83.3M	416.7M
26	Llama 3 8B Instruct Lite	together	178.6M	178.6M	357.1M
27	Devstral Small 2	mistral	250.0M	83.3M	333.3M
28	Llama 4 Scout	together	250.0M	83.3M	333.3M
29	Ministral 3 8B	mistral	166.7M	166.7M	333.3M
30	Mistral NeMo	mistral	166.7M	166.7M	333.3M
31	Pixtral 12B	mistral	166.7M	166.7M	333.3M
32	RNJ-1 Instruct	together	166.7M	166.7M	333.3M
33	Qwen3 235B A22B Instruct 2507	novita	277.8M	43.1M	320.9M
34	Gemini 2.0 Flash	google	250.0M	62.5M	312.5M
35	Gemini 2.5 Flash-Lite	google	250.0M	62.5M	312.5M
36	GPT-4.1 nano	openai	250.0M	62.5M	312.5M
37	Llama 4 Scout 17B 16E Instruct	groq	227.3M	73.5M	300.8M
38	Claude Haiku 5.5	anthropic	250.0M	50.0M	300.0M
39	GPT-6 Luna	openai	250.0M	50.0M	300.0M
40	DeepSeek V4 Flash	novita	178.6M	89.3M	267.9M
41	Ministral 3 14B	mistral	125.0M	125.0M	250.0M
42	Llama 3.3 70B Instruct	novita	185.2M	62.5M	247.7M
43	Qwen3.5 9B	together	147.1M	100.0M	247.1M
44	GLM-4.5 Air	novita	192.3M	29.4M	221.7M
45	Qwen3.8 Flash	novita	166.7M	53.2M	219.9M
46	GLM 5.3 Flash	novita	166.7M	50.0M	216.7M
47	Qwen3.8-Flash	alibaba	156.3M	53.2M	209.4M
48	Command R 08-2024	cohere	166.7M	41.7M	208.3M
49	DeepSeek V4.1 Flash	deepseek	166.7M	41.7M	208.3M
50	GPT-4o mini	openai	166.7M	41.7M	208.3M
51	GPT-OSS 120B	groq	166.7M	41.7M	208.3M
52	GPT-OSS 120B	together	166.7M	41.7M	208.3M
53	Llama 4 Maverick	together	166.7M	41.7M	208.3M
54	Mistral Small 4	mistral	166.7M	41.7M	208.3M
55	Mistral 7B	mistral	100.0M	100.0M	200.0M
56	Qwen3 Next 80B A3B Instruct	novita	166.7M	16.7M	183.3M
57	Llama 4 Scout Instruct	novita	138.9M	42.4M	181.3M
58	Grok 4.1 Fast Non-Reasoning	xai	125.0M	50.0M	175.0M
59	Grok 4.1 Fast Reasoning	xai	125.0M	50.0M	175.0M
60	Qwen2.5 7B Instruct Turbo	together	83.3M	83.3M	166.7M
61	Qwen3 235B A22B Instruct 2507	together	125.0M	41.7M	166.7M
62	Qwen3 VL 30B A3B Instruct	novita	125.0M	35.7M	160.7M
63	Qwen3 235B A22B	novita	125.0M	31.3M	156.3M
64	DeepSeek V3.2	novita	92.9M	62.5M	155.4M
65	DeepSeek V3.2 Exp	novita	92.6M	61.0M	153.6M
66	GPT-5.6 Luna	openai	125.0M	20.8M	145.8M
67	GPT-5.4 nano	openai	125.0M	20.0M	145.0M
68	Qwen3 Coder Next	novita	125.0M	16.7M	141.7M
69	Qwen MT Plus	novita	100.0M	33.3M	133.3M
70	Qwen3 32B	groq	86.2M	42.4M	128.6M
71	Qwen 2.5 72B Instruct	novita	65.8M	62.5M	128.3M
72	Llama 4 Maverick Instruct	novita	92.6M	29.4M	122.0M
73	Gemma 4 31B IT Pearl	together	89.3M	29.1M	118.4M
74	Qwen3.6-35B-A3B	novita	100.8M	16.8M	117.6M
75	DeepSeek V3.1	novita	92.6M	25.0M	117.6M
76	DeepSeek V3.1 Terminus	novita	92.6M	25.0M	117.6M
77	Gemini 3.1 Flash-Lite	google	100.0M	16.7M	116.7M
78	Qwen3.6-Flash	alibaba	100.0M	16.7M	116.7M
79	DeepSeek V3 0324	novita	92.6M	22.3M	114.9M
80	GPT-5 mini	openai	100.0M	12.5M	112.5M
81	Qwen3.5-35B-A3B	novita	100.0M	12.5M	112.5M
82	Codestral	mistral	83.3M	27.8M	111.1M
83	GLM-4.6V	novita	83.3M	27.8M	111.1M
84	DeepSeek V4.1 Flash	novita	83.3M	20.8M	104.2M
85	DeepSeek V4.1 Flash	novita	83.3M	20.8M	104.2M
86	MiniMax M2	novita	83.3M	20.8M	104.2M
87	MiniMax M2.1	novita	83.3M	20.8M	104.2M
88	MiniMax M2.5	together	83.3M	20.8M	104.2M
89	MiniMax M2.5	novita	83.3M	20.8M	104.2M
90	MiniMax M2.7	together	83.3M	20.8M	104.2M
91	MiniMax M2.7	novita	83.3M	20.8M	104.2M
92	MiniMax M3	minimax	83.3M	20.8M	104.2M
93	MiniMax M3	together	83.3M	20.8M	104.2M
94	Qwen3 VL 235B A22B Instruct	novita	83.3M	16.7M	100.0M
95	Qwen3.7-Plus	alibaba	78.1M	19.5M	97.7M
96	Qwen3.5-27B	novita	83.3M	10.4M	93.8M
97	Gemini 2.5 Flash	google	83.3M	10.0M	93.3M
98	Gemini 3.5 Flash-Lite	google	83.3M	10.0M	93.3M
99	Qwen3 235B A22B Thinking 2507	novita	83.3M	8.3M	91.7M
100	Gemma 4 31B IT	together	64.1M	25.8M	89.9M
101	Qwen3 Coder 480B A35B Instruct	novita	65.8M	16.1M	81.9M
102	DeepSeek V3 (Turbo)	novita	62.5M	19.2M	81.7M
103	GPT-4.1 mini	openai	62.5M	15.6M	78.1M
104	DeepSeek V4 Flash 0731	novita	56.8M	18.9M	75.8M
105	DeepSeek V4 Flash Vision Exp	novita	56.8M	18.9M	75.8M
106	Devstral Medium 2	mistral	62.5M	12.5M	75.0M
107	Mistral Medium 3	mistral	62.5M	12.5M	75.0M
108	Llama 3.3 70B Versatile	groq	42.4M	31.6M	74.0M
109	Mixtral 8x7B	mistral	35.7M	35.7M	71.4M
110	Qwen3.5-122B-A10B	novita	62.5M	7.8M	70.3M
111	Qwen3.8 27B	novita	59.5M	8.3M	67.9M
112	gpt-3.5-turbo	openai	50.0M	16.7M	66.7M
113	gpt-3.5-turbo-0125	openai	50.0M	16.7M	66.7M
114	Magistral Small	mistral	50.0M	16.7M	66.7M
115	Mistral Large 3	mistral	50.0M	16.7M	66.7M
116	DeepSeek R1 Distill Llama 70B	novita	31.3M	31.3M	62.5M
117	Gemini 3 Flash	google	50.0M	8.3M	58.3M
118	GLM-4.6	novita	45.5M	11.4M	56.8M
119	MiniMax M1	novita	45.5M	11.4M	56.8M
120	DeepSeek V3.1	together	41.7M	14.7M	56.4M
121	GLM-4.5V	novita	41.7M	13.9M	55.6M
122	Kimi K2 Instruct	novita	43.9M	10.9M	54.7M
123	GLM-4.7	novita	41.7M	11.4M	53.0M
124	MiniMax M2.5 Highspeed	novita	41.7M	10.4M	52.1M
125	Kimi K2 0905	novita	41.7M	10.0M	51.7M
126	Kimi K2 Thinking	novita	41.7M	10.0M	51.7M
127	DeepSeek V4 Pro 0813	deepseek	37.9M	12.6M	50.5M
128	Kimi K2.5	novita	41.7M	8.3M	50.0M
129	Sonar	perplexity	25.0M	25.0M	50.0M
130	Nemotron 3 Ultra 550B A55B	together	41.7M	6.9M	48.6M
131	Qwen3.5 397B A17B	together	41.7M	6.9M	48.6M
132	Qwen3.5-397B-A17B	novita	41.7M	6.9M	48.6M
133	Qwen3.6-27B	novita	41.7M	6.9M	48.6M
134	Llama 3.3 70B	together	24.0M	24.0M	48.1M
135	DeepSeek R1 (Turbo)	novita	35.7M	10.0M	45.7M
136	DeepSeek R1 0528	novita	35.7M	10.0M	45.7M
137	Qwen3.8 27B	cerebras	25.3M	16.8M	42.0M
138	Mixtral 8x22B	together	20.8M	20.8M	41.7M
139	Qwen 2.5 72B	together	20.8M	20.8M	41.7M
140	Cogito v2.1 671B	together	20.0M	20.0M	40.0M
141	DeepSeek V3	together	20.0M	20.0M	40.0M
142	Gemini 3.6 Flash	google	33.3M	6.7M	40.0M
143	Gemini 3.7 Flash	google	33.3M	6.7M	40.0M
144	Gemini 3.8 Flash	google	33.3M	6.7M	40.0M
145	GPT-5.4 mini	openai	33.3M	5.6M	38.9M
146	Kimi K2.6	novita	31.3M	7.4M	38.6M
147	Claude Haiku 3.5	anthropic	31.3M	6.3M	37.5M
148	gpt-3.5-turbo-1106	openai	25.0M	12.5M	37.5M
149	Grok Build 0.1	xai	25.0M	12.5M	37.5M
150	Llama 3.1 70B Euryale V2.2	novita	16.9M	16.9M	33.8M
151	GLM-5	together	25.0M	7.8M	32.8M
152	GLM-5	novita	25.0M	7.8M	32.8M
153	Kimi K2.7 Code	together	26.3M	6.3M	32.6M
154	Kimi K2.7 Code	novita	26.3M	6.3M	32.6M
155	Qwen3 VL 235B A22B Thinking	novita	25.5M	6.3M	31.8M
156	Claude Haiku 4.5	anthropic	25.0M	5.0M	30.0M
157	Grok 4.20 0309 Non-Reasoning	xai	20.0M	10.0M	30.0M
158	Grok 4.20 0309 Reasoning	xai	20.0M	10.0M	30.0M
159	Grok 4.20 Multi-Agent 0309	xai	20.0M	10.0M	30.0M
160	Grok 4.3	xai	20.0M	10.0M	30.0M
161	gpt-3.5-turbo-instruct	openai	16.7M	12.5M	29.2M
162	o3-mini	openai	22.7M	5.7M	28.4M
163	o4-mini	openai	22.7M	5.7M	28.4M
164	Qwen3.7-Max	alibaba	20.0M	6.7M	26.7M
165	Qwen3.7-Max	novita	20.0M	6.7M	26.7M
166	Kimi K2.6	together	20.8M	5.6M	26.4M
167	DeepSeek V4 Pro 0813	novita	18.9M	6.3M	25.3M
168	GLM-5.1	novita	18.1M	5.7M	23.8M
169	GLM 5.3	novita	17.9M	5.7M	23.5M
170	GLM-5.1	together	17.9M	5.7M	23.5M
171	GLM-5.2	together	17.9M	5.7M	23.5M
172	GLM-5.2	zai	17.9M	5.7M	23.5M
173	GLM-5.2	novita	17.9M	5.7M	23.5M
174	GLM-5.3	zai	17.9M	5.7M	23.5M
175	DeepSeek V4 Pro	novita	15.6M	7.8M	23.4M
176	Gemini 2.5 Pro	google	20.0M	2.5M	22.5M
177	GPT-5	openai	20.0M	2.5M	22.5M
178	GPT-5.1	openai	20.0M	2.5M	22.5M
179	DeepSeek V4 Pro	together	14.4M	7.2M	21.6M
180	Mistral Medium 3.5	mistral	16.7M	3.3M	20.0M
181	Gemini 3.5 Flash	google	16.7M	2.8M	19.4M
182	Magistral Medium	mistral	12.5M	5.0M	17.5M
183	Grok 4.5	xai	12.5M	4.2M	16.7M
184	Grok 4.6	xai	12.5M	4.2M	16.7M
185	Grok 4.7	xai	12.5M	4.2M	16.7M
186	Mixtral 8x22B	mistral	12.5M	4.2M	16.7M
187	Pixtral Large	mistral	12.5M	4.2M	16.7M
188	Qwen3.8 2.4T A95B	novita	12.5M	4.2M	16.7M
189	Qwen3.8 Max	novita	12.5M	4.2M	16.7M
190	GPT-5.2	openai	14.3M	1.8M	16.1M
191	GPT-4.1	openai	12.5M	3.1M	15.6M
192	o3	openai	12.5M	3.1M	15.6M
193	Sonar Deep Research	perplexity	12.5M	3.1M	15.6M
194	Sonar Reasoning Pro	perplexity	12.5M	3.1M	15.6M
195	Claude Sonnet 5	anthropic	12.5M	2.5M	15.0M
196	Claude Sonnet 5.5	anthropic	12.5M	2.5M	15.0M
197	Gemini 4 Argon	google	12.5M	2.5M	15.0M
198	GPT-6 Sol	openai	12.5M	2.5M	15.0M
199	GPT-6.1 Sol	openai	12.5M	2.5M	15.0M
200	Gemini 3 Pro	google	12.5M	2.1M	14.6M
201	Gemini 3.1 Pro	google	12.5M	2.1M	14.6M
202	GPT-5.6 Terra	openai	12.5M	2.1M	14.6M
203	Llama 3.1 405B	together	7.1M	7.1M	14.3M
204	Command A	cohere	10.0M	2.5M	12.5M
205	Command R+ 08-2024	cohere	10.0M	2.5M	12.5M
206	GPT-4o	openai	10.0M	2.5M	12.5M
207	DeepSeek R1	together	8.3M	3.6M	11.9M
208	Gemini 2.5 Pro (>200k tokens)	google	10.0M	1.7M	11.7M
209	GPT-5.4	openai	10.0M	1.7M	11.7M
210	Kimi K3	telnyx	9.3M	1.9M	11.1M
211	Mistral Large	together	8.3M	2.8M	11.1M
212	Claude Sonnet 4	anthropic	8.3M	1.7M	10.0M
213	Claude Sonnet 4.5	anthropic	8.3M	1.7M	10.0M
214	Claude Sonnet 4.6	anthropic	8.3M	1.7M	10.0M
215	Kimi K3	moonshot	8.3M	1.7M	10.0M
216	Kimi K3	novita	8.3M	1.7M	10.0M
217	Sonar Pro	perplexity	8.3M	1.7M	10.0M
218	Claude Opus 5.5	anthropic	6.3M	1.3M	7.5M
219	GPT-5.6 Sol	openai	6.3M	1.3M	7.5M
220	gpt-4o-2024-05-13	openai	5.0M	1.7M	6.7M
221	Claude Opus 4.5	anthropic	5.0M	1.0M	6.0M
222	Claude Opus 4.6	anthropic	5.0M	1.0M	6.0M
223	Claude Opus 4.7	anthropic	5.0M	1.0M	6.0M
224	Claude Opus 4.8	anthropic	5.0M	1.0M	6.0M
225	Claude Opus 5	anthropic	5.0M	1.0M	6.0M
226	GPT-5.5	openai	5.0M	833.3K	5.8M
227	gpt-4-turbo-2024-04-09	openai	2.5M	833.3K	3.3M
228	Claude Fable 5	anthropic	2.5M	500.0K	3.0M
229	Claude Fable 5.1	anthropic	2.5M	500.0K	3.0M
230	Claude Mythos 5	anthropic	2.5M	500.0K	3.0M
231	Claude Mythos 5.1	anthropic	2.5M	500.0K	3.0M
232	GPT-6 Astra	openai	2.5M	500.0K	3.0M
233	GPT-5.5 Cyber	openai	2.0M	333.3K	2.3M
234	GPT-5.6 Cyber	openai	2.0M	333.3K	2.3M
235	o1	openai	1.7M	416.7K	2.1M
236	Claude Opus 4	anthropic	1.7M	333.3K	2.0M
237	Claude Opus 4.1	anthropic	1.7M	333.3K	2.0M
238	GPT-5 Pro	openai	1.7M	208.3K	1.9M
239	o3-pro	openai	1.3M	312.5K	1.6M
240	GPT-5.2 Pro	openai	1.2M	148.8K	1.3M
241	gpt-4-0613	openai	833.3K	416.7K	1.3M
242	GPT-5.4 Pro	openai	833.3K	138.9K	972.2K
243	GPT-5.5 Pro	openai	833.3K	138.9K	972.2K

243 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.