Side-by-side comparison of text-embedding-3-large (OpenAI) and Gemini 1.5 Pro (Google) — benchmarks, pricing, and capabilities.
| text-embedding-3-large OpenAI | Gemini 1.5 Pro Google | |
|---|---|---|
| Category | Embedding Models | LLMs |
| Specifications | ||
| Context Window | 8K | 1.0M |
| Pricing (per 1M tokens) | ||
| Input Cost | $0.13 | $1.25 |
| Output Cost | — | $5.00 |
| Performance | ||
| Overall Score | 91.0 | 90.8 |
| ARC-Challenge | — | 89.5 |
| BigBench Hard | — | 85.1 |
| Chatbot Arena ELO | — | 1126.0 |
| DROP | — | 85.8 |
| GSM8K | — | 93.2 |
| HumanEval | — | 89.1 |
| MATH | — | 74.0 |
| MMLU | — | 85.3 |
| MTEB | 64.6 | — |
| TruthfulQA | — | 65.1 |
| WinoGrande | — | 84.2 |
| Community | ||
| User Rating | ★ 4.5 | ★ 4.5 |
| Reviews | 890 | 654 |