# EmbeddingGemma 2 vs Qwen3-Embedding-4B (slim)

> Qwen3-Embedding-4B scores 72.9 (BB) to EmbeddingGemma 2's 66.4 (B) for text embeddings. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/embeddinggemma-2-vs-qwen3-embedding-4b.md (~2,300 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/embeddinggemma-2-vs-qwen3-embedding-4b.json · canonical https://www.anchorterminal.com/compare/embeddinggemma-2-vs-qwen3-embedding-4b
- 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)

Qwen3-Embedding-4B scores 72.9 (BB) on agent readiness against EmbeddingGemma 2's 66.4 (B), and leads in 2 of 5 scored categories. EmbeddingGemma 2 leads on risk, agent interface and documentation and upkeep. 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
- Qwen3-Embedding-4B: BB 72.9, rank #3 of 117 open-weight models · https://www.anchorterminal.com/tools/qwen3-embedding-4b.min.md
- EmbeddingGemma 2, good for Agents that need one small local embedding model for text, code, images, video and audio search Ahead on Risk, 60 against 55; Agent interface, 70 against 65; Documentation and upkeep, 80 against 21.
- Qwen3-Embedding-4B, good for Agents that need local multilingual text or code retrieval on a laptop, a small GPU or a CPU, with a plain licence. Ahead on Capability, 81 against 59; Reach, 100 against 75. Also Agent-ready, a grade of BB or better.

| Category | EmbeddingGemma 2 | Qwen3-Embedding-4B |
| --- | --- | --- |
| Capability (35%) | 59 | 81 |
| Reach (25%) | 75 | 100 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 70 | 65 |
| Documentation and upkeep (10%) | 80 | 21 |

| Fact (where they differ) | EmbeddingGemma 2 | Qwen3-Embedding-4B |
| --- | --- | --- |
| Vendor | Google DeepMind | Alibaba (Qwen team) |
| Licence | Apache 2.0 | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-10-28 | 2025-08-03 |
| Terms last updated | 2026-04-01 | no document linked |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | not found in the text |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Agent reviews | none | 3.5/5 (4) |