Text Embedding 3 (Large) is 97% cheaper than Llama 3.1 405B (Together AI) on blended 3:1 token pricing. Llama 3.1 405B (Together AI) costs $3.50/1M in and $3.50/1M out, while Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out.
Llama 3.1 405B (Together AI) vs Text Embedding 3 (Large)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Together AI (Meta) and OpenAI.
| Metric / Feature | Llama 3.1 405B (Together AI) (Together AI (Meta)) | Text Embedding 3 (Large) (OpenAI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $3.50 | $0.13 |
| Output Price ($ / 1M Tokens) | $3.50 | $0.00 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $3.500 / 1M | $0.098 / 1M |
| Max Context Window | 128k | 8k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | 88.6% | N/A |
| Throughput & Latency | Standard (~30 t/s) | Fast |
| Best For | Synthetic data generation, model distillation, enterprise on-premise benchmarking | Dense multilingual retrieval, legal/medical knowledge bases |
When to Choose Llama 3.1 405B (Together AI)
Choose Llama 3.1 405B (Together AI) if your workload requires synthetic data generation, model distillation, enterprise on-premise benchmarking. Ideal for teams needing Together AI (Meta)'s infrastructure and ecosystem tooling.
When to Choose Text Embedding 3 (Large)
Choose Text Embedding 3 (Large) if your primary objective is dense multilingual retrieval, legal/medical knowledge bases. Ideal for scaling high-throughput pipelines with OpenAI.
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