Llama 3.3 70B Versatile API Pricing Calculator
Compare what your prompts cost across every major LLM — with exact token counts for OpenAI models, right in your browser.
Prices verified 2026-07-24 · per 1M tokens · sources linked per provider
Input / 1M tokens
$0.59
Cached input / 1M
—
Output / 1M tokens
$0.79
llama-3.3-70b-versatileAt Llama 3.3 70B Versatile's rates ($0.59 per 1M input tokens, $0.79 per 1M output), a call with 1,000 input and 500 output tokens costs $0.000985. At 10,000 requests a month, that workload runs $9.85. A heavier call — a 100,000-token prompt returning 2,000 tokens — costs $0.0606.
Llama 3.3 70B Versatile is the priciest Groq model at this workload, 10.9× the per-call cost of Llama 3.1 8B Instant.
Llama 3.3 70B Versatile's context window is 131,072 tokens.
| Model | Cost / call | Cost / month | × best price |
|---|---|---|---|
| Llama 3.1 8B Instantcheapest | $0.00013 | $0.13 | — |
| GPT-OSS 120B | $0.00075 | $0.75 | 5.8× |
| Llama 3.3 70B Versatile | $0.00138 | $1.38 | 10.6× |
More Groq models: Llama 3.1 8B Instant · GPT-OSS 120B — or all Groq pricing
Token counter
Token counts are exact for OpenAI models (tiktoken o200k_base, run in your browser). For other providers the count is an estimate — notably Claude Opus 4.7+/Sonnet 5 and similar newer models use a tokenizer that produces roughly 30% more tokens for the same text.
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