$ diff embeddinggemma-2 longcat-2-0
EmbeddingGemma 2 vs LongCat-2.0
Values come from EmbeddingGemma 2 and LongCat-2.0, 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
- 1M
- weights
- open
- $/M in
- $0.3
- $/M out
- $1.2
What actually differs
- Context window
- LongCat-2.0 takes 1M against 8K — 125× more room in a single request.
- Weights
- Both publish weights — EmbeddingGemma 2 under Apache 2.0, LongCat-2.0 under MIT (commercially permissive). Check the licences rather than assuming they permit the same commercial use.
- Recency
- EmbeddingGemma 2 shipped 98 days after LongCat-2.0 (2026-10-06 vs 2026-06-30).
Full spec
| Attribute | EmbeddingGemma 2 | LongCat-2.0 |
|---|---|---|
| Developer | Google DeepMind | Meituan |
| Released | 2026-10-06 | 2026-06-30 |
| Context window | 8K tokens | 1 million tokens (LongCat Sparse Attention / LSA) |
| Pricing | not recorded | $0.30/M input · $1.20/M output ($0.006/M cached input) — OpenRouter catalogue, read 2026-07-28. Open weights, so this is hosted-inference pricing rather than a licence fee. |
| License | Apache 2.0 | MIT (commercially permissive) |
| Availability | Weights on Hugging Face and Kaggle; local inference | Open-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha" |