ModelRefs / Text Embedding 3 Large vs Gemma 3 27B
Text Embedding 3 Large vs Gemma 3 27B
Text Embedding 3 Large vs Gemma 3 27B: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Gemma 3 27B: Gemma 3 27B is the largest model in Google's third-generation open Gemma family, accepting text and images across a 128,000-token input context, with output drawn from the same budget. Images are normalised to 896x896 and encoded as 256 tokens each. Google cites support for more than 140 languages and an August 2024 knowledge cutoff. The weights are published under Google's Gemma Terms of Use rather than a standard open-source licence.
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: Gemma 3 27B accepts up to 128,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.
Gemma 3 27B vs Text Embedding 3 Large at a glance
| Attribute | Gemma 3 27B | Text Embedding 3 Large |
|---|---|---|
| Provider | OpenAI | |
| Released | 2025-02-01 | 2024-01-25 |
| Context window | 128,000 tokens | 8,191 tokens |
| Input price | $0.1/M tokens | $0.13/M tokens |
| Output price | $0.3/M tokens | Free / self-hosted |
| Licence | Gemma-Terms | Proprietary |
| Self-hostable | Yes, open weights | No, hosted only |
| Modalities | text, vision | text, Embedding |
Where they differ most
- Cost Efficiency: Gemma 3 27B 95%, 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 Gemma 3 27B.
Frequently asked questions
Which is better, Text Embedding 3 Large or Gemma 3 27B?
Text Embedding 3 Large and Gemma 3 27B target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Text Embedding 3 Large cheaper than Gemma 3 27B?
Compare $0.00013 vs $0.00010 on this page.