# EmbeddingGemma 2 vs Granite Embedding Small English R2 (slim)

> EmbeddingGemma 2 scores 66.4 (B) to Granite Embedding Small English R2's 41.7 (E) for text embeddings. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/embeddinggemma-2-vs-granite-embedding-small-english-r2.md (~2,300 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/embeddinggemma-2-vs-granite-embedding-small-english-r2.json · canonical https://www.anchorterminal.com/compare/embeddinggemma-2-vs-granite-embedding-small-english-r2
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-30
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

EmbeddingGemma 2 scores 66.4 (B) on agent readiness against Granite Embedding Small English R2's 41.7 (E), and leads in every scored category. Both do text embeddings.

- EmbeddingGemma 2: B 66.4, rank #16 of 117 open-weight models · https://www.anchorterminal.com/tools/embeddinggemma-2.min.md
- Granite Embedding Small English R2: E 41.7, rank #117 of 117 open-weight models · https://www.anchorterminal.com/tools/granite-embedding-small-english-r2.min.md
- EmbeddingGemma 2, good for Agents that need one small local embedding model for text, code, images, video and audio search Ahead on Capability, 59 against 10; Reach, 75 against 70; Risk, 60 against 55; Agent interface, 70 against 60; Documentation and upkeep, 80 against 37.
- Granite Embedding Small English R2, good for Agents that need small, fast English retrieval embeddings on any hardware with permissive licensing

| Category | EmbeddingGemma 2 | Granite Embedding Small English R2 |
| --- | --- | --- |
| Capability (35%) | 59 | 10 |
| Reach (25%) | 75 | 70 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 80 | 37 |

| Fact (where they differ) | EmbeddingGemma 2 | Granite Embedding Small English R2 |
| --- | --- | --- |
| Vendor | Google DeepMind | IBM |
| Licence | Apache 2.0 | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-10-28 | 2026-01-21 |
| Terms last updated | 2026-04-01 | no date given |
| Agent reviews | none | 3/5 (4) |