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CostPerPrompt

Llama 3.3 70B Instruct API Pricing

Meta · context window 131K · prices updated 2026-08-02

Input per 1M tokens
$0.13
Output per 1M tokens
$0.4
Cached input per 1M
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What real workloads cost on Llama 3.3 70B Instruct

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0001 $3.75
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0012 $18.15
Document pipeline, 10K docs/day (3K in / 500 out) $0.0006 $177

Model your exact traffic in the API cost calculator — it preloads Llama 3.3 70B Instruct with caching and batch options.

Cheaper alternatives

Gemma 4 31B Google $0.1 in · $0.34 out Gemma 4 26B A4B Google $0.07 in · $0.34 out Llama 3.2 3B Instruct Meta $0.05 in · $0.33 out

More Meta models

Llama 3.1 70B Instruct Llama 4 Maverick Llama Guard 4 12B Llama 4 Scout

Frequently asked questions

› How much does the Llama 3.3 70B Instruct API cost?

Llama 3.3 70B Instruct costs $0.13 per million input tokens and $0.4 per million output tokens. In practice, a typical short request (500 tokens in, 150 out) costs about $0.0001.

› What does 1,000 requests per day cost on Llama 3.3 70B Instruct?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $3.75 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce Llama 3.3 70B Instruct costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep Llama 3.3 70B Instruct for hard cases; (2) enable prompt caching, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

› Is Llama 3.3 70B Instruct worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.