$ diff embeddinggemma-2 grok-4-7
EmbeddingGemma 2 vs Grok 4.7
Values come from EmbeddingGemma 2 and Grok 4.7, 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
- 500K
- weights
- —
- $/M in
- $2
- $/M out
- $6
What actually differs
- Context window
- Grok 4.7 takes 500K against 8K — 62.5× more room in a single request.
- Recency
- EmbeddingGemma 2 shipped 15 days after Grok 4.7 (2026-10-06 vs 2026-09-21).
Full spec
| Attribute | EmbeddingGemma 2 | Grok 4.7 |
|---|---|---|
| Developer | Google DeepMind | xAI |
| Released | 2026-10-06 | 2026-09-21 |
| Context window | 8K tokens | 500K |
| Pricing | not recorded | $2/M input · $0.50/M cached input · $6/M output (prompts ≤200K); $4/M · $1/M · $12/M above 200K |
| License | Apache 2.0 | not recorded |
| Availability | Weights on Hugging Face and Kaggle; local inference | Grok API, Cursor, Grok Build, OpenRouter, Vercel, Cloudflare |