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