$ diff embeddinggemma-2 glm-5-3-flash
EmbeddingGemma 2 vs GLM-5.3-Flash
Values come from EmbeddingGemma 2 and GLM-5.3-Flash, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
Google DeepMindEmbeddingGemma 2
- context
- 8K
- weights
- open
- $/M in
- —
- $/M out
- —
- context
- 1.0M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.5
What actually differs
- Context window
- GLM-5.3-Flash takes 1.0M against 8K — 131.1× more room in a single request.
- Weights
- Both publish weights — EmbeddingGemma 2 under Apache 2.0, GLM-5.3-Flash under MIT. Check the licences rather than assuming they permit the same commercial use.
- Recency
- EmbeddingGemma 2 shipped 41 days after GLM-5.3-Flash (2026-10-06 vs 2026-08-26).
Full spec
| Attribute | EmbeddingGemma 2 | GLM-5.3-Flash |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Released | 2026-10-06 | 2026-08-26 |
| Context window | 8K tokens | 1,048,576 (1M) |
| Pricing | not recorded | $0.15/M input · $0.03/M cached input · $0.50/M output |
| License | Apache 2.0 | MIT |
| Availability | Weights on Hugging Face and Kaggle; local inference | Hugging Face (open weights), Z.ai API |