$ diff embeddinggemma-2 gpt-6-1-sol
EmbeddingGemma 2 vs GPT-6.1 Sol
Values come from EmbeddingGemma 2 and GPT-6.1 Sol, 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
- 1.1M
- weights
- closed
- $/M in
- $2
- $/M out
- $10
What actually differs
- Context window
- GPT-6.1 Sol takes 1.1M against 8K — 131.3× more room in a single request.
- Weights
- EmbeddingGemma 2 publishes weights (Apache 2.0); GPT-6.1 Sol is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- EmbeddingGemma 2 shipped 7 days after GPT-6.1 Sol (2026-10-06 vs 2026-09-29).
Full spec
| Attribute | EmbeddingGemma 2 | GPT-6.1 Sol |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Released | 2026-10-06 | 2026-09-29 |
| Context window | 8K tokens | 1.05M tokens |
| Pricing | not recorded | $2/M input · $10/M output · cached input $0.10/M |
| License | Apache 2.0 | proprietary (API-only; no weight release) |
| Availability | Weights on Hugging Face and Kaggle; local inference | OpenAI API; Codex; ChatGPT Work — surfaces named in reporting, not enumerated by a first-party page |