# EmbeddingGemma 300M vs Qwen3-VL-Embedding-2B (slim)

> Qwen3-VL-Embedding-2B scores 55.4 (C) to EmbeddingGemma 300M's 50.7 (D) for text embeddings. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/embeddinggemma-300m-vs-qwen3-vl-embedding-2b.md (~2,150 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/embeddinggemma-300m-vs-qwen3-vl-embedding-2b.json · canonical https://www.anchorterminal.com/compare/embeddinggemma-300m-vs-qwen3-vl-embedding-2b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Qwen3-VL-Embedding-2B scores 55.4 (C) on agent readiness against EmbeddingGemma 300M's 50.7 (D), and leads in 3 of 5 scored categories. EmbeddingGemma 300M leads on documentation and upkeep. Both do text embeddings.

- EmbeddingGemma 300M: D 50.7, rank #91 of 100 open-weight models · https://www.anchorterminal.com/tools/embeddinggemma-300m.min.md
- Qwen3-VL-Embedding-2B: C 55.4, rank #80 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-embedding-2b.min.md
- EmbeddingGemma 300M, good for Agents that need small, local multilingual embeddings for retrieval and can accept the Gemma Terms Ahead on Documentation and upkeep, 42 against 36.
- Qwen3-VL-Embedding-2B, good for Agents that need local multimodal search over text, screenshots, images and video on a small GPU or CPU Ahead on Capability, 50 against 40; Reach, 75 against 70; Agent interface, 65 against 60.

| Category | EmbeddingGemma 300M | Qwen3-VL-Embedding-2B |
| --- | --- | --- |
| Capability (35%) | 40 | 50 |
| Reach (25%) | 70 | 75 |
| Risk (20%) | 45 | 45 |
| Agent interface (10%) | 60 | 65 |
| Documentation and upkeep (10%) | 42 | 36 |

| Fact (where they differ) | EmbeddingGemma 300M | Qwen3-VL-Embedding-2B |
| --- | --- | --- |
| Vendor | Google DeepMind | Alibaba (Qwen team) |
| Licence | Gemma Terms of Use | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2025-09-25 | 2026-04-16 |
| Terms last updated |  | no document linked |