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: 2026-06-11

How far does my AI budget go? Different models have wildly different per-token rates. A $50 monthly budget buys you about 1,667 million input tokens on LFM2 24B A2B (Together) 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	LFM2 24B A2B (Together)	together	833.3M	208.3M	1.0B
5	Command R7B	cohere	666.7M	166.7M	833.3M
6	Llama 3.1 8b Instant	groq	500.0M	312.5M	812.5M
7	Gemma 3n E4B Instruct (Together)	together	416.7M	208.3M	625.0M
8	GPT-OSS 20B (Together)	together	500.0M	125.0M	625.0M
9	GPT-5 nano	openai	500.0M	62.5M	562.5M
10	Ministral 3B	mistral	250.0M	250.0M	500.0M
11	Gemini 2.0 Flash-Lite	google	333.3M	83.3M	416.7M
12	GPT OSS Safeguard 20B	groq	333.3M	83.3M	416.7M
13	Openai/gpt Oss 20b	groq	333.3M	83.3M	416.7M
14	Llama 4 Scout	meta	312.5M	83.3M	395.8M
15	Devstral Small 2	mistral	250.0M	83.3M	333.3M
16	Ministral 8B	mistral	166.7M	166.7M	333.3M
17	Mistral NeMo	mistral	166.7M	166.7M	333.3M
18	Mistral Small 4	mistral	250.0M	83.3M	333.3M
19	Pixtral 12B	mistral	166.7M	166.7M	333.3M
20	Rnj-1 Instruct (Together)	together	166.7M	166.7M	333.3M
21	Gemini 2.0 Flash	google	250.0M	62.5M	312.5M
22	Gemini 2.5 Flash-Lite	google	250.0M	62.5M	312.5M
23	GPT-4.1 nano	openai	250.0M	62.5M	312.5M
24	Llama 4 Scout 17B 16E Instruct	groq	227.3M	73.5M	300.8M
25	DeepSeek V4 Flash	deepseek	178.6M	89.3M	267.9M
26	Ministral 14B	mistral	125.0M	125.0M	250.0M
27	Qwen3.5 9B (Together)	together	147.1M	100.0M	247.1M
28	Command R 08-2024	cohere	166.7M	41.7M	208.3M
29	GPT-4o mini	openai	166.7M	41.7M	208.3M
30	GPT-OSS 120B (Together)	together	166.7M	41.7M	208.3M
31	Llama 4 Maverick	meta	166.7M	41.7M	208.3M
32	Openai/gpt Oss 120b	groq	166.7M	41.7M	208.3M
33	Mistral 7B	mistral	100.0M	100.0M	200.0M
34	Grok 4 1 Fast Non Reasoning	xai	125.0M	50.0M	175.0M
35	Grok 4 1 Fast Reasoning	xai	125.0M	50.0M	175.0M
36	Grok 4.1 Fast	xai	125.0M	50.0M	175.0M
37	GPT-5.4 nano	openai	125.0M	20.0M	145.0M
38	Qwen3 32B	groq	86.2M	42.4M	128.6M
39	Gemini 3.1 Flash-Lite	google	100.0M	16.7M	116.7M
40	GPT-5 mini	openai	100.0M	12.5M	112.5M
41	Codestral	mistral	83.3M	27.8M	111.1M
42	MiniMax M2.7 (Together)	together	83.3M	20.8M	104.2M
43	Gemini 2.5 Flash	google	83.3M	10.0M	93.3M
44	DeepSeek V4 Pro	deepseek	57.5M	28.7M	86.2M
45	GPT-4.1 mini	openai	62.5M	15.6M	78.1M
46	Devstral Medium 2	mistral	62.5M	12.5M	75.0M
47	Mistral Medium 3	mistral	62.5M	12.5M	75.0M
48	Llama 3.3 70b Versatile	groq	42.4M	31.6M	74.0M
49	Mixtral 8x7B	mistral	35.7M	35.7M	71.4M
50	Magistral Small	mistral	50.0M	16.7M	66.7M
51	Mistral Large 3	mistral	50.0M	16.7M	66.7M
52	Gemini 3 Flash	google	50.0M	8.3M	58.3M
53	Qwen3.6-Plus (Together)	together	50.0M	8.3M	58.3M
54	DeepSeek V3.1 (Together)	together	41.7M	14.7M	56.4M
55	Sonar	perplexity	25.0M	25.0M	50.0M
56	Qwen3.5 397B A17B (Together)	together	41.7M	6.9M	48.6M
57	Llama 3.3 70B (Together)	together	24.0M	24.0M	48.1M
58	Mixtral 8x22B (Together)	together	20.8M	20.8M	41.7M
59	Qwen 2.5 72B (Together)	together	20.8M	20.8M	41.7M
60	Cogito v2.1 671B (Together)	together	20.0M	20.0M	40.0M
61	DeepSeek V3 (Together)	together	20.0M	20.0M	40.0M
62	GPT-5.4 mini	openai	33.3M	5.6M	38.9M
63	GLM-5 (Together)	together	25.0M	7.8M	32.8M
64	Claude Haiku 4.5	anthropic	25.0M	5.0M	30.0M
65	Grok 4.20	xai	20.0M	10.0M	30.0M
66	Grok 4.3	xai	20.0M	10.0M	30.0M
67	o4-mini	openai	22.7M	5.7M	28.4M
68	Qwen3.7-Max (Together)	together	20.0M	6.7M	26.7M
69	Kimi K2.6 (Together)	together	20.8M	5.6M	26.4M
70	GLM-5.1 (Together)	together	17.9M	5.7M	23.5M
71	Gemini 2.5 Pro	google	20.0M	2.5M	22.5M
72	GPT-5	openai	20.0M	2.5M	22.5M
73	GPT-5.1	openai	20.0M	2.5M	22.5M
74	Mistral Medium 3.5	mistral	16.7M	3.3M	20.0M
75	Gemini 3.5 Flash	google	16.7M	2.8M	19.4M
76	DeepSeek V4 Pro (Together)	together	11.9M	5.7M	17.6M
77	Magistral Medium	mistral	12.5M	5.0M	17.5M
78	Mixtral 8x22B	mistral	12.5M	4.2M	16.7M
79	Pixtral Large	mistral	12.5M	4.2M	16.7M
80	GPT-5.2	openai	14.3M	1.8M	16.1M
81	GPT-4.1	openai	12.5M	3.1M	15.6M
82	o3	openai	12.5M	3.1M	15.6M
83	Sonar Deep Research	perplexity	12.5M	3.1M	15.6M
84	Sonar Reasoning Pro	perplexity	12.5M	3.1M	15.6M
85	Gemini 3 Pro	google	12.5M	2.1M	14.6M
86	Gemini 3.1 Pro	google	12.5M	2.1M	14.6M
87	Llama 3.1 405B (Together)	together	7.1M	7.1M	14.3M
88	Command A	cohere	10.0M	2.5M	12.5M
89	Command R+ 08-2024	cohere	10.0M	2.5M	12.5M
90	GPT-4o	openai	10.0M	2.5M	12.5M
91	DeepSeek R1 (Together)	together	8.3M	3.6M	11.9M
92	Gemini 2.5 Pro (>200k tokens)	google	10.0M	1.7M	11.7M
93	GPT-5.4	openai	10.0M	1.7M	11.7M
94	Mistral Large (Together)	together	8.3M	2.8M	11.1M
95	Claude Sonnet 4	anthropic	8.3M	1.7M	10.0M
96	Claude Sonnet 4.5	anthropic	8.3M	1.7M	10.0M
97	Claude Sonnet 4.6	anthropic	8.3M	1.7M	10.0M
98	Sonar Pro	perplexity	8.3M	1.7M	10.0M
99	Claude Opus 4.5	anthropic	5.0M	1.0M	6.0M
100	Claude Opus 4.6	anthropic	5.0M	1.0M	6.0M
101	Claude Opus 4.7	anthropic	5.0M	1.0M	6.0M
102	Claude Opus 4.8	anthropic	5.0M	1.0M	6.0M
103	GPT-5.5	openai	5.0M	833.3K	5.8M
104	Claude Fable 5	anthropic	2.5M	500.0K	3.0M
105	Claude Mythos 5	anthropic	2.5M	500.0K	3.0M
106	Claude Opus 4	anthropic	1.7M	333.3K	2.0M
107	Claude Opus 4.1	anthropic	1.7M	333.3K	2.0M
108	GPT-5 Pro	openai	1.7M	208.3K	1.9M
109	o3-pro	openai	1.3M	312.5K	1.6M
110	GPT-5.2 Pro	openai	1.2M	148.8K	1.3M
111	GPT-5.4 Pro	openai	833.3K	138.9K	972.2K
112	GPT-5.5 Pro	openai	833.3K	138.9K	972.2K

112 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.

Need AI-powered writing on a budget? Writesonic gives you unlimited AI writing features at a flat monthly rate — great if you want predictable costs without counting tokens.