Capabilities
7-day heat trend
+5.3%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 31% of tracked models
- Faster than 76% of tracked models
- Efficiency rank: #898 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About gemini-embedding-001
Google Gemini text embedding model for retrieval, semantic matching, and classification.
gemini-embedding-001 is a Text model from Google (US). HotON.ai tracks it at $0.15 per 1M input tokens and $0.00 per 1M output tokens, with a 1K-token context window, ~162 tokens/sec throughput and 98.5% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare gemini-embedding-001
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Frequently asked questions
How much does gemini-embedding-001 cost per 1M tokens?+
gemini-embedding-001 is tracked at $0.15 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.04 per 1M tokens. Figures are illustrative demo data.
What is gemini-embedding-001 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is gemini-embedding-001?+
gemini-embedding-001 delivers about 162 tokens/sec with 98.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is gemini-embedding-001 cheaper than other AI models?+
Within the HotON.ai tracked set, gemini-embedding-001 is cheaper than 31% of models on input price and ranks #898 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.