ModelRefs / Text Embedding 3 Large vs Gemini 2.0 Flash
Text Embedding 3 Large vs Gemini 2.0 Flash
Text Embedding 3 Large vs Gemini 2.0 Flash: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your s…
Overview
Gemini 2.0 Flash: Gemini 2.0 Flash is Google's multimodal workhorse, accepting text, image, audio and video input across a 1,048,576-token context window with an 8,192-token output limit and an August 2024 knowledge cutoff. Google's deprecations page gives it a shutdown date of 1 June 2026 and names gemini-3.6-flash as the replacement, and the Gemini API models page now lists it among previous models as shut down; it is retained here as a historical reference.
Text Embedding 3 Large: Text Embedding 3 Large is OpenAI's larger third-generation embedding model, returning 3,072-dimension vectors from inputs of up to 8,192 tokens. Its dimensions parameter shortens the vector at creation time without, as OpenAI puts it, the embedding losing its concept-representing properties, which lets a retrieval system trade index size against accuracy without changing models. Shortening at creation is preferred to truncating afterwards, which requires re-normalising the vector.
Context window: Gemini 2.0 Flash accepts up to 1,000,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.
Gemini 2.0 Flash vs Text Embedding 3 Large at a glance
| Attribute | Gemini 2.0 Flash | Text Embedding 3 Large |
|---|---|---|
| Provider | OpenAI | |
| Released | 2025-02-05 | 2024-01-25 |
| Context window | 1,000,000 tokens | 8,191 tokens |
| Input price | $0.1/M tokens | $0.13/M tokens |
| Output price | $0.4/M tokens | Free / self-hosted |
| Licence | Proprietary | Proprietary |
| Self-hostable | No, hosted only | No, hosted only |
| Modalities | text, vision, audio | text, Embedding |
Where they differ most
- Cost Efficiency: Gemini 2.0 Flash 93%, Text Embedding 3 Large 99%. Text Embedding 3 Large leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Text Embedding 3 Large vs Gemini 2.0 Flash.
Frequently asked questions
Which is better, Text Embedding 3 Large or Gemini 2.0 Flash?
Text Embedding 3 Large and Gemini 2.0 Flash target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Text Embedding 3 Large cheaper than Gemini 2.0 Flash?
Compare $0.00013 vs $0.00010 on this page.