Text Embedding 3 (Small) is 74% cheaper than Llama 3.1 8B Instant (Groq) on blended 3:1 token pricing. Text Embedding 3 (Small) costs $0.02/1M in and $0.00/1M out, while Llama 3.1 8B Instant (Groq) costs $0.05/1M in and $0.08/1M out.
Text Embedding 3 (Small) vs Llama 3.1 8B Instant (Groq)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and Groq (Meta).
| Metric / Feature | Text Embedding 3 (Small) (OpenAI) | Llama 3.1 8B Instant (Groq) (Groq (Meta)) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.02 | $0.05 |
| Output Price ($ / 1M Tokens) | $0.00 | $0.08 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $0.015 / 1M | $0.058 / 1M |
| Max Context Window | 8k | 128k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | N/A | 73.0% |
| Throughput & Latency | Ultra-Fast | Blazing (~550 t/s) |
| Best For | Vector search, semantic clustering, RAG index creation | Instant search indexing, real-time moderation, intent classification |
When to Choose Text Embedding 3 (Small)
Choose Text Embedding 3 (Small) if your workload requires vector search, semantic clustering, rag index creation. 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).
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