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