Llama 3.3 70B (Groq) vs Llama 3.3 70B
Same model, different hardware: Groq wins on raw speed (800 tok/s vs 60 tok/s). Together wins on price for batch workloads.
Llama 3.3 70B on Groq LPU ($0.59/M) vs Together AI ($0.23/M) — Together AI is 2.6× cheaper. Groq is 10-15× faster in tokens/second. The choice depends on your latency vs cost tradeoff: real-time chat interfaces benefit from Groq's speed; batch processing and offline workloads should use Together.
Side-by-side pricing
| Llama 3.3 70B (Groq) | Llama 3.3 70B | |
|---|---|---|
| Provider | Groq | Meta |
| Input price/1M | $0.59 | $0.23 |
| Output price/1M | $0.79 | $0.40 |
| Cache read/1M | — | — |
| Context window | 128K | 128K |
| Vision | ✗ | ✗ |
| Tool use | ✓ | ✓ |
| Prompt caching | ✗ | ✗ |
| Speed tier | Fast | Fast |
Prices verified 2026-08-20. See changelog for history.
Winner by task
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Frequently Asked Questions
Is Groq actually faster than other inference providers?
Yes — Groq's LPU (Language Processing Unit) hardware achieves 800-2000 tokens/second for Llama 70B models, vs 50-100 tok/s on A100 GPU clusters. This is real and reproducible. For latency-sensitive applications (voice interfaces, real-time chat), Groq is meaningfully better.
Prices verified 2026-08-20. See methodology for calculation details.