Text Embedding 3 (Large) is 44% cheaper than DeepSeek V3 on blended 3:1 token pricing. Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out, while DeepSeek V3 costs $0.14/1M in and $0.28/1M out.
Text Embedding 3 (Large) vs DeepSeek V3
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and DeepSeek.
| Metric / Feature | Text Embedding 3 (Large) (OpenAI) | DeepSeek V3 (DeepSeek) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.13 | $0.14 |
| Output Price ($ / 1M Tokens) | $0.00 | $0.28 |
| Prompt Caching Input Rate | Not Available | $0.014/1M |
| Blended 3:1 Rate (Production) | $0.098 / 1M | $0.175 / 1M |
| Max Context Window | 8k | 131k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | N/A | 88.5% |
| Throughput & Latency | Fast | Fast (~60 t/s) |
| Best For | Dense multilingual retrieval, legal/medical knowledge bases | General LLM routing, high-scale automation, cost reduction vs OpenAI |
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 DeepSeek V3
Choose DeepSeek V3 if your primary objective is general llm routing, high-scale automation, cost reduction vs openai. Ideal for scaling high-throughput pipelines with DeepSeek.
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