LLM Cost Calculator

Groq API Pricing 2026

Ultra-fast inference on dedicated LPU hardware — up to 1,000 tokens/sec. Best for latency-sensitive production apps. Predictable, linear pricing.

Pricing verified 2026-08-03. Sourced from groq.com/pricing.

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Groq Model Pricing

Prices in USD per 1M tokens

ModelInput / 1MOutput / 1MContext
GPT-OSS 120B (Groq)
OpenAI open-source model on Groq; 500 tokens/sec
$0.15$0.6128,000
Llama 4 Scout (Groq)
Fastest LLM inference on Groq LPU; 594 tokens/sec
$0.11$0.34128,000
Qwen3 32B (Groq)
Strong mid-size model with extended context; 662 tokens/sec
$0.29$0.59131,072
Llama 3.3 70B (Groq)
Reliable 70B on Groq LPU; 394 tokens/sec
$0.59$0.79128,000
Llama 3.1 8B (Groq)
Ultra-low cost; 840 tokens/sec on Groq LPU
$0.05$0.08128,000

How to read these estimates

The monthly table assumes 70% input tokens and 30% output tokens. It is a consistent comparison baseline, not a prediction of your workload. Actual bills can also include cached-input discounts, batch pricing, tool calls, minimum charges, regional differences, retries, and taxes.

The linked source is the provider's pricing documentation. Verify the current rate card and model availability before committing to a budget.

Estimated Monthly Cost (70% input / 30% output split)

Model1M tokens/mo10M tokens/mo100M tokens/mo1B tokens/mo
GPT-OSS 120B (Groq)$0.285$2.85$28.50$285
Llama 4 Scout (Groq)$0.179$1.79$17.90$179
Qwen3 32B (Groq)$0.380$3.80$38.00$380
Llama 3.3 70B (Groq)$0.650$6.50$65.00$650
Llama 3.1 8B (Groq)$0.059$0.590$5.90$59.00

Frequently Asked Questions

How much does Groq LLM API cost?

Groq offers 5 models ranging from $0.050/1M to $0.59/1M input tokens. Ultra-fast inference on dedicated LPU hardware — up to 1,000 tokens/sec. Best for latency-sensitive production apps. Predictable, linear pricing.

Is Groq cheaper than self-hosting?

For low-volume workloads (under 100M tokens/month), cloud APIs like Groq are almost always cheaper than purchasing and maintaining GPU hardware. Use our calculator to find the exact break-even point for your usage.