Llama 3.1 8B Instant (Groq) is 41% cheaper than Text Embedding 3 (Large) on blended 3:1 token pricing. Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out, while Llama 3.1 8B Instant (Groq) costs $0.05/1M in and $0.08/1M out.
Text Embedding 3 (Large) vs Llama 3.1 8B Instant (Groq)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and Groq (Meta).
| Metric / Feature | Text Embedding 3 (Large) (OpenAI) | Llama 3.1 8B Instant (Groq) (Groq (Meta)) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.13 | $0.05 |
| Output Price ($ / 1M Tokens) | $0.00 | $0.08 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $0.098 / 1M | $0.058 / 1M |
| Max Context Window | 8k | 128k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | N/A | 73.0% |
| Throughput & Latency | Fast | Blazing (~550 t/s) |
| Best For | Dense multilingual retrieval, legal/medical knowledge bases | Instant search indexing, real-time moderation, intent classification |
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 3.1 8B Instant (Groq)
Choose Llama 3.1 8B Instant (Groq) if your primary objective is instant search indexing, real-time moderation, intent classification. Ideal for scaling high-throughput pipelines with Groq (Meta).
Want to compare Text Embedding 3 (Large) against another model?
Select another target model to view immediate pricing & latency trade-offs.