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What is your LLM bill really going to be?
Compare monthly cost across GPT-4o, Claude, Gemini, Mistral, DeepSeek and more for your actual traffic — and see how much a cheaper fallback model and lossless compression would save.
VernaOne lets you swap to the cheaper model with no code change (automatic fallback) and applies the compression automatically. Try it free →
All models, cheapest first
| Model | Provider | $/1M in · out | Monthly |
|---|---|---|---|
| Gemini 2.0 Flash | $0.1 · $0.4 | $31.00 | |
| OpenAI GPT-4o mini | OpenAI | $0.15 · $0.6 | $46.50 |
| DeepSeek V3 | DeepSeek | $0.27 · $1.1 | $84.50 |
| Llama 3.1 70B (Groq) | Groq | $0.59 · $0.79 | $120 |
| Claude Haiku 3.5 | Anthropic | $0.8 · $4 | $280 |
| OpenAI o3-mini | OpenAI | $1.1 · $4.4 | $341 |
| Gemini 1.5 Pro | $1.25 · $5 | $388 | |
| Mistral Large | Mistral | $2 · $6 | $540 |
| xAI Grok 3 | xAI | $2 · $10 | $700 |
| OpenAI GPT-4o | OpenAI | $2.5 · $10 | $775 |
| Claude Sonnet 4.5 | Anthropic | $3 · $15 | $1,050 |
| Claude Opus 4 | Anthropic | $15 · $75 | $5,250 |
Approximate public list prices in USD per 1,000,000 tokens. Verify against each provider before relying on exact figures — prices change often. Edit this file to update. Prices as of 2026-08-09.
Three ways to cut the bill
Cheapest capable model
Route to the cheapest model that still passes your evals — often 10–100× cheaper for the same task.
Compress the input
Losslessly compact large JSON and trim boilerplate. VernaOne does this automatically — 28–49% on data-heavy prompts.
Fallback, no rewrite
A model-agnostic prompt swaps providers by config. VernaOne manages the fallback chain automatically.
Stop overpaying per token
VernaOne routes each prompt to the cheapest capable model with automatic fallback, and compresses inputs losslessly — no code change.
Try VernaOne free →Frequently asked
How much does GPT-4o cost vs Claude vs Gemini?
It depends on your token volume. Enter your requests per month and average input/output tokens in the calculator above to see monthly cost for each model side by side. As a rule of thumb, GPT-4o mini, Gemini Flash, and DeepSeek are the cheapest tiers, while Claude Opus and GPT-4o cost more per token — often 10–100× the cheapest option for the same traffic.
How do I reduce my LLM API bill?
Three levers: use the cheapest model that passes your evals, cut wasted input tokens (compress large JSON, trim boilerplate, cache the stable prefix), and cap output length. VernaOne applies lossless columnar JSON compression and output shaping automatically — typically 28–49% off data-heavy prompts — and lets you switch to a cheaper model with automatic fallback and no code change.
Are these prices exact?
They are approximate public list prices per million tokens and change often — verify with each provider before budgeting. The calculator is for comparison and planning, not billing.
What is a fallback model and how does it save money?
A fallback is an equivalent model on another provider that your prompt can run on when the primary is down, slow, or pricier. With a model-agnostic prompt you can route to the cheapest capable model and fall back automatically — no rewrite. VernaOne manages the fallback chain for you.