Meta Llama · hosted

Llama 3 token cost calculator

Llama 3 models appear behind many hosted inference endpoints. Pricing is not universal—it depends on your provider, region, and commitment discounts. We model a representative llama-3.3-70b row in config/models.php that you should overwrite with your vendor quote.

Despite host variance, token math stays constant: multiply prompt and completion counts by the per-thousand-token rates you negotiate, then scale by traffic.

This page highlights how Llama-class economics behave for open-weight friendly teams comparing self-host vs managed APIs.

Hosted Llama vs self-hosted total cost

Managed APIs charge obvious per-token fees. Self-hosted stacks hide costs in GPUs, engineering time, and reliability work. For budgeting, add hardware depreciation, utilization, and on-call burden—not just electricity.

Input vs output tokens

Llama applications tuned for chat often underestimate completion length. Add safety buffers when users can ask for “more detail.”

Context and retrieval

Open models are popular for private RAG. Remember retrieval adds input tokens every turn unless you cache or compress context aggressively.

Llama token examples

Scenario Prompt tokens Output tokens Model (est.) Cost / request
Enterprise search answer 5000 400 llama-3.3-70b $0.0033
Sales email helper 900 320 llama-3.3-70b $0.0008
Developer CLI helper 2500 700 llama-3.3-70b $0.0020

Figures use rates from config/models.php; confirm against your provider before billing decisions.

Monthly Llama spend sketches

  • Productivity copilot

    3,500 requests per weekday.

    Per request
    $0.0014
    Monthly (3500 req/day × 22 days)
    $107.65

Llama vs other mid-tier models

Model Provider Input Output
Llama 3.3 70B (hosted) Meta / host $0.0006 / 1K in $0.0008 / 1K out
Mistral Large Mistral $0.0020 / 1K in $0.0060 / 1K out
GPT-4o mini OpenAI $0.0002 / 1K in $0.0006 / 1K out
Claude 3.5 Haiku Anthropic $0.0008 / 1K in $0.0040 / 1K out

FAQ: Llama 3 API pricing

Short answers mirror the structured data on this page for search engines and readers.

Why is my hosted Llama bill different from this page?
Hosts add margins, minimum commits, and regional fees. Paste your actual per-token quote into config/models.php.
Is Llama always cheaper than closed models?
Not when you factor output quality and engineering time. Compare on business metrics, not list price alone.
Can I use this for Llama 4 or other sizes?
Add a new model row with the correct label and pricing; the calculator will pick it up automatically.
How do I model fine-tuned Llama endpoints?
Use the fine-tuning sketch in the calculator UI for training order-of-magnitude costs, then use inference rates for steady-state.

Estimate Llama 3 hosted costs

Replace the default rate with your provider’s quote, then rerun scenarios for peak traffic.

Prefilled for this page’s scenario. Pricing loads from config/models.php and /api/pricing.

Calculator

Cost = (prompt ÷ 1000 × Pin) + (completion ÷ 1000 × Pout), then × requests.

Usage presets

Multi-model comparison

Toggle models to compare the same workload. The cheapest option is highlighted.

Monthly cost simulator

Project from average daily requests (uses tokens above).

Uses primary model rates for projections.

Token estimator

Rough heuristic: ~4 characters ≈ 1 token for Latin text (indicative only).

Estimated tokens: 0 · Cost @ primary:

API budget planner

Set a monthly cap to see how many identical requests fit (primary model).

Max requests (approx):

Prompt optimization analyzer

Collapse whitespace and tighten wording to preview savings at the primary model.

Suggested shorter form:


                    

Token delta: 0 · Est. savings / 1k calls:

Fine-tuning cost sketch

Order-of-magnitude helper: training tokens × epochs × rate + storage.

Est. training + 1 mo storage:

Team usage calculator

Multiply per-person daily volume by team size (primary model).

Team monthly (22d):

Cost per feature

Price a single product surface (e.g., one chat turn or one generated article).

Uses prompt & completion tokens from the calculator for one invocation.

Cost per use: · Monthly @ that cadence:

Share & export

Serialize inputs in the URL hash or copy a text summary.

Calculation history

Stored in your browser only (LocalStorage).