Text Embedding 3 (Small) is 91% cheaper than DeepSeek V3 on blended 3:1 token pricing. Text Embedding 3 (Small) costs $0.02/1M in and $0.00/1M out, while DeepSeek V3 costs $0.14/1M in and $0.28/1M out.
Text Embedding 3 (Small) vs DeepSeek V3
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and DeepSeek.
| Metric / Feature | Text Embedding 3 (Small) (OpenAI) | DeepSeek V3 (DeepSeek) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.02 | $0.14 |
| Output Price ($ / 1M Tokens) | $0.00 | $0.28 |
| Prompt Caching Input Rate | Not Available | $0.014/1M |
| Blended 3:1 Rate (Production) | $0.015 / 1M | $0.175 / 1M |
| Max Context Window | 8k | 131k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | N/A | 88.5% |
| Throughput & Latency | Ultra-Fast | Fast (~60 t/s) |
| Best For | Vector search, semantic clustering, RAG index creation | General LLM routing, high-scale automation, cost reduction vs OpenAI |
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 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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