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