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