deepseek-flash
$0.00 / $0.00
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An LLM cost calculator turns prompt length and traffic into monthly dollars using published input and output prices per million tokens. OmniKit (omnikitapp.net) tokenizes locally, applies catalog v2026-09-11 list rates, and does not call the models. Confirm invoices; contracts can differ.
Estimate monthly token spend from your real prompts and traffic. Token counts stay local; prices come from a versioned catalog so you can compare DeepSeek, OpenAI, Claude, Gemini, and vLLM without calling the models.
Run from here
Monthly $ uses vendor list rates. OpenRouter / Zen / Command Code appear in results after you run.
3 selected
Other
Appears after you run
Compare LLM monthly spend
Paste prompts, pick a few models, then estimate. Gateway $/mo (OpenRouter, Zen, Command Code) shows after you run.
deepseek-flash
$0.00 / $0.00
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gpt-4o-mini
$0.00 / $0.00
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claude-sonnet-5
$0.00 / $0.00
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An LLM cost calculator estimates monthly token spend from your prompts and traffic, then compares models on the same load. It multiplies input tokens, output tokens, requests per second, and list prices. It does not call the models and does not use your negotiated contract rates unless you adjust after a quote.
OmniKit tokenizes locally and applies catalog version 2026-09-11 so DeepSeek, OpenAI, Claude, Gemini, Kimi, Grok, Mistral, Qwen, Llama, and vLLM sit on one table. List rates, not invoices. A worked GPT-4o Mini example ($2.70 at 10M in / 2M out) sits below with formula, inputs, source, and date checked.
At 10 million input tokens and 2 million output tokens per month, GPT-4o Mini costs $2.70 using OmniKit catalog list rates (catalog version 2026-09-11): $0.15 per million input tokens and $0.60 per million output tokens.
| Model | Input $/1M | Output $/1M | Monthly $ |
|---|---|---|---|
| Qwen 3.7 Flash | 0.03 | 0.13 | $0.56 |
| GPT-4o Mini | 0.15 | 0.60 | $2.70 |
| DeepSeek V4.1 Flash (peak miss) | 0.30 | 1.20 | $5.40 |
| Claude Sonnet 5 | 2.00 | 10.00 | $40.00 |
| GPT-5 / Standard | 1.25 | 10.00 | $32.50 |
Same volume: 10M input + 2M output. Catalog v2026-09-11, checked 11 September 2026. Not invoices. Re-run the calculator with your prompts.
Paste system and user prompts, set requests per second and days per month, select models, then run the estimate. Copy or export the monthly dollar table. Token counts stay on-device. Catalog prices are public list rates, not enterprise discounts.
Paste system and user prompts (or leave system empty).
Set requests per second and days per month.
Select models to compare, then run the estimate.
Copy or export the monthly $ table for planning.
LLM cost is driven by token volume times list price times traffic — not by the model name alone. Input length, completion length, and peak requests per second dominate. A “cheap” model with long answers can beat a costly model with short ones on the same prompt pack.
Not always. Catalog rates are public list prices. Enterprise discounts, batch APIs, and prompt caching change the envelope. This calculator answers the first question: if this prompt pack runs at this RPS, what is monthly spend on each model at list?
Pricing pages show per-million rates. They do not tokenize your prompts. Guessing from a screenshot usually under-counts system prompts and over-counts average traffic. Paste the real prompts, set the load you expect, and export the table. The models are not called.
Vendor list is the planning envelope. The calculator also shows gateway list rates: OpenRouter (pass-through, 5.5% on credit buys), OpenCode Zen (PAYG; Go allowances are separate), and Command Code (subscription credits vs list). Cheapest list winner is 1M in + 1M out; Codex and DeepSeek Flash often flip the ranking.
An LLM cost calculator estimates monthly token spend from your prompts and traffic, then compares models on the same load. It multiplies input tokens, output tokens, requests per second, and list prices. It does not call the models and does not use your negotiated contract rates unless you adjust after a quote.
Use list price per million tokens. One million input tokens at GPT-4o Mini’s $0.15/1M list is $0.15; one million output tokens at $0.60/1M is $0.60. Real bills mix both. Paste your prompts and traffic into this calculator (catalog v2026-09-11) instead of assuming a 1:1 split.
Monthly $ ≈ (input tokens × input $/1M + output tokens × output $/1M) × requests per second × 86,400 × days. Token counts stay in the browser. Prices are vendor list rates from OmniKit’s versioned catalog, not your contract.
No. It tokenizes locally and applies published per-million prices, so estimates do not consume live AI credits.
A token cost calculator turns prompt length and traffic into monthly dollars using input and output prices per million tokens. OmniKit is that calculator for OpenAI, Claude, Gemini, DeepSeek, and other catalog models on one table.
Yes. GPT-4o Mini, GPT-4o, GPT-5, and related OpenAI ids are in the catalog. Paste prompts, set requests per second, and compare OpenAI token cost next to Claude, Gemini, and DeepSeek on the same load.
Yes. Claude Haiku, Sonnet, Opus, and Gemini Flash/Pro list rates sit beside OpenAI and DeepSeek. Use the 2026 LLM pricing comparison page for a four-model map, then re-run this calculator for your prompts.
It depends on the model. The calculator shows vendor list rates plus OpenRouter, OpenCode Zen, and Command Code list $/1M. OpenRouter often wins Gemini Flash and Kimi; Zen often wins DeepSeek Flash and GPT-5; Command Code can win GPT-5.3 Codex when completions dominate. Fees and subscription credits can flip the all-in winner.
Yes. Select both models with the same prompts and traffic to see side-by-side monthly cost.
Prices follow OmniKit’s versioned catalog (v2026-09-11). Update the catalog when vendors change list rates; negotiated contracts may differ.
Yes. OpenAI models are included alongside Anthropic, Google, DeepSeek, and vLLM so you can compare apples-to-apples monthly $.
Keep measuring in the same cluster — or jump to the next decision.
Use this LLM cost calculator when you have real prompts and a traffic guess. Tokenize locally, compare vendor list prices from catalog v2026-09-11, then check OpenRouter vs OpenCode Zen vs Command Code on the same models. Official list pages: OpenAI, Anthropic, Google Gemini, and DeepSeek pricing. Open Prompt Token Diff or Cache Savings if the next decision is compression or a sticky prefix — not another pricing-page screenshot.