Text Embedding 3 (Large) is 85% cheaper than Llama 3.3 70B (Groq LPU) on blended 3:1 token pricing. Llama 3.3 70B (Groq LPU) costs $0.59/1M in and $0.79/1M out, while Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out.
Llama 3.3 70B (Groq LPU) vs Text Embedding 3 (Large)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Groq (Meta) and OpenAI.
| Metric / Feature | Llama 3.3 70B (Groq LPU) (Groq (Meta)) | Text Embedding 3 (Large) (OpenAI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.59 | $0.13 |
| Output Price ($ / 1M Tokens) | $0.79 | $0.00 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $0.640 / 1M | $0.098 / 1M |
| Max Context Window | 128k | 8k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | 86.0% | N/A |
| Throughput & Latency | Instant (~280 t/s) | Fast |
| Best For | Instantaneous interactive chatbots, real-time voice translation, low-latency tool agents | Dense multilingual retrieval, legal/medical knowledge bases |
When to Choose Llama 3.3 70B (Groq LPU)
Choose Llama 3.3 70B (Groq LPU) if your workload requires instantaneous interactive chatbots, real-time voice translation, low-latency tool agents. Ideal for teams needing Groq (Meta)'s infrastructure and ecosystem tooling.
When to Choose Text Embedding 3 (Large)
Choose Text Embedding 3 (Large) if your primary objective is dense multilingual retrieval, legal/medical knowledge bases. Ideal for scaling high-throughput pipelines with OpenAI.
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