Text Embedding 3 (Large) is 95% cheaper than OpenAI o1-mini on blended 3:1 token pricing. OpenAI o1-mini costs $1.10/1M in and $4.40/1M out, while Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out.
OpenAI o1-mini vs Text Embedding 3 (Large)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and OpenAI.
| Metric / Feature | OpenAI o1-mini (OpenAI) | Text Embedding 3 (Large) (OpenAI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $1.10 | $0.13 |
| Output Price ($ / 1M Tokens) | $4.40 | $0.00 |
| Prompt Caching Input Rate | $0.550/1M | Not Available |
| Blended 3:1 Rate (Production) | $1.925 / 1M | $0.098 / 1M |
| Max Context Window | 128k | 8k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | 85.2% | N/A |
| Throughput & Latency | Fast Reasoning (~55 t/s) | Fast |
| Best For | STEM problem solving, code generation, algorithmic optimization | Dense multilingual retrieval, legal/medical knowledge bases |
When to Choose OpenAI o1-mini
Choose OpenAI o1-mini if your workload requires stem problem solving, code generation, algorithmic optimization. Ideal for teams needing OpenAI'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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