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Price your own workload on this model

A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.

Llama 3.3 70B (Groq) API pricing (October 2026)

Prices verified 12 Oct 2026

Retired from Groq self-serve on 16 Aug 2026; enterprise contracts only. Last published price.

Input
$0.590
per 1M tokens
Output
$0.790
per 1M tokens
Cached input
Not supported
no prompt caching
Batch discount
50% off
async batch endpoint

What it costs at real volumes

A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.

VolumePer requestPer monthPer year
10K requests/day$0.00071$216$2,590Adjust →
100K requests/day$0.00071$2,158$25,898Adjust →
1M requests/day$0.00071$21,582$258,984Adjust →

Specifications

Provider
Groq
Context window
128K tokens
Max output
33K tokens
Tier
Workhorse
Status
Retired
Blended $/1M (3:1)
$0.640
Cache break-even, caching each turn
No caching
Prices verified
12 Oct 2026

Source: Groq pricing. Finitizer is not affiliated with Groq.

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Frequently asked questions

How much did Llama 3.3 70B (Groq) cost per 1M tokens?

Llama 3.3 70B (Groq) cost $0.590 per million input tokens and $0.790 per million output tokens at Groq final list prices. Output was 1.3x the input rate, so the input:output ratio of a workload drives the real cost more than the headline price.

Does Llama 3.3 70B (Groq) support prompt caching?

Llama 3.3 70B (Groq) has no published prompt-caching rate, so repeated context is billed at the full input rate on every request.

What is the batch discount for Llama 3.3 70B (Groq)?

Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.295 and output to $0.395 per million tokens.

What is Llama 3.3 70B (Groq)'s context window?

128K tokens of context with up to 33K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.

Running Llama 3.3 70B (Groq) in production?

Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.

See Finitizer Tokenomics