Text Embedding 3 (Large) is 44% cheaper than Gemini 2.0 Flash on blended 3:1 token pricing. Gemini 2.0 Flash costs $0.10/1M in and $0.40/1M out, while Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out.
Gemini 2.0 Flash vs Text Embedding 3 (Large)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Google and OpenAI.
| Metric / Feature | Gemini 2.0 Flash (Google) | Text Embedding 3 (Large) (OpenAI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.10 | $0.13 |
| Output Price ($ / 1M Tokens) | $0.40 | $0.00 |
| Prompt Caching Input Rate | $0.025/1M | Not Available |
| Blended 3:1 Rate (Production) | $0.175 / 1M | $0.098 / 1M |
| Max Context Window | 128k | 8k |
| Multimodal Vision | ✅ Supported | ❌ Text Only |
| MMLU Benchmark | 84.6% | N/A |
| Throughput & Latency | Ultra-Fast (~110 t/s) | Fast |
| Best For | Real-time multimodal voice/video streaming, low-latency agent loops | Dense multilingual retrieval, legal/medical knowledge bases |
When to Choose Gemini 2.0 Flash
Choose Gemini 2.0 Flash if your workload requires real-time multimodal voice/video streaming, low-latency agent loops. 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.
Want to compare Gemini 2.0 Flash against another model?
Select another target model to view immediate pricing & latency trade-offs.