Text Embedding 3 (Large) is 96% cheaper than Gemini 1.5 Pro on blended 3:1 token pricing. Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out, while Gemini 1.5 Pro costs $1.25/1M in and $5.00/1M out.
Text Embedding 3 (Large) vs Gemini 1.5 Pro
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and Google.
| Metric / Feature | Text Embedding 3 (Large) (OpenAI) | Gemini 1.5 Pro (Google) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.13 | $1.25 |
| Output Price ($ / 1M Tokens) | $0.00 | $5.00 |
| Prompt Caching Input Rate | Not Available | $0.312/1M |
| Blended 3:1 Rate (Production) | $0.098 / 1M | $2.188 / 1M |
| Max Context Window | 8k | 128k |
| Multimodal Vision | ❌ Text Only | ✅ Supported |
| MMLU Benchmark | N/A | 85.9% |
| Throughput & Latency | Fast | Standard (~35 t/s) |
| Best For | Dense multilingual retrieval, legal/medical knowledge bases | Massive codebase analysis, hours of video comprehension, full book translation |
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 Gemini 1.5 Pro
Choose Gemini 1.5 Pro if your primary objective is massive codebase analysis, hours of video comprehension, full book translation. Ideal for scaling high-throughput pipelines with Google.
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