Text Embedding 3 (Large) is 90% cheaper than DeepSeek R1 on blended 3:1 token pricing. Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out, while DeepSeek R1 costs $0.55/1M in and $2.19/1M out.
Text Embedding 3 (Large) vs DeepSeek R1
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and DeepSeek.
| Metric / Feature | Text Embedding 3 (Large) (OpenAI) | DeepSeek R1 (DeepSeek) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.13 | $0.55 |
| Output Price ($ / 1M Tokens) | $0.00 | $2.19 |
| Prompt Caching Input Rate | Not Available | $0.140/1M |
| Blended 3:1 Rate (Production) | $0.098 / 1M | $0.960 / 1M |
| Max Context Window | 8k | 131k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | N/A | 90.8% |
| Throughput & Latency | Fast | Reasoning (~40 t/s) |
| Best For | Dense multilingual retrieval, legal/medical knowledge bases | Math proofs, complex algorithmic coding, autonomous agent reasoning |
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 R1
Choose DeepSeek R1 if your primary objective is math proofs, complex algorithmic coding, autonomous agent reasoning. Ideal for scaling high-throughput pipelines with DeepSeek.
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