Text Embedding 3 (Small) is 100% cheaper than Llama 3.1 405B (Together AI) on blended 3:1 token pricing. Text Embedding 3 (Small) costs $0.02/1M in and $0.00/1M out, while Llama 3.1 405B (Together AI) costs $3.50/1M in and $3.50/1M out.
Text Embedding 3 (Small) vs Llama 3.1 405B (Together AI)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and Together AI (Meta).
| Metric / Feature | Text Embedding 3 (Small) (OpenAI) | Llama 3.1 405B (Together AI) (Together AI (Meta)) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.02 | $3.50 |
| Output Price ($ / 1M Tokens) | $0.00 | $3.50 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $0.015 / 1M | $3.500 / 1M |
| Max Context Window | 8k | 128k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | N/A | 88.6% |
| Throughput & Latency | Ultra-Fast | Standard (~30 t/s) |
| Best For | Vector search, semantic clustering, RAG index creation | Synthetic data generation, model distillation, enterprise on-premise benchmarking |
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 405B (Together AI)
Choose Llama 3.1 405B (Together AI) if your primary objective is synthetic data generation, model distillation, enterprise on-premise benchmarking. Ideal for scaling high-throughput pipelines with Together AI (Meta).
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