Google Vertex AI
Cloud platform · 35 models · 86 priced routes · cloud.google.com
Models on Google Vertex AI
| Model | In / out per 1M | Vs headline | |
|---|---|---|---|
| $0.15 / FreeSame vs headline | Same | us-central1 · gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. | |
| $0.2 / FreeSame vs headline | Same | us · Gemini Embedding 2 is Google's first multimodal embedding model. | |
| $0.2 / FreeSame vs headline | Same | global · Gemini Embedding 2 is Google's first multimodal embedding model. | |
| $0.09 / $0.36+840% vs headline | +840% | global · gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. | |
| $0.22 / Free+10% vs headline | +10% | eu · Gemini Embedding 2 is Google's first multimodal embedding model. | |
| $0.1 / $0.5Same vs headline | Same | global · Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. | |
| $0.11 / $0.55+10% vs headline | +10% | europe · Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. | |
| $0.11 / $0.55+10% vs headline | +10% | us · Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. | |
| $0.15 / $0.6+209% vs headline | +209% | global · Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. | |
| $0.125 / $0.75-50% vs headline | -50% | global-flex · Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. | |
| $0.25 / $0.7+202% vs headline | +202% | us-east5 · Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. | |
| $0.15 / $1.25-50% vs headline | -50% | global-flex · Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. | |
| $0.3 / $1.2+383% vs headline | +383% | global · DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. | |
| $0.35 / $1.15+81% vs headline | +81% | us-east5 · Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward... | |
| $0.25 / $1.5Same vs headline | Same | global · Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. | |
| $0.25 / $1.5Same vs headline | Same | global · Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. | |
| $0.25 / $1.5-50% vs headline | -50% | global-flex · Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. | |
| $0.275 / $1.65+10% vs headline | +10% | eu · Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. | |
| $0.275 / $1.65+10% vs headline | +10% | us · Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. | |
| $0.72 / $0.72+365% vs headline | +365% | us-central1 · The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). |
About Google Vertex AI
BigQuery, the Gemini Enterprise Agent Platform (formerly Vertex AI), the Gemini API, Looker, AlloyDB and Spanner.
Batch: Flex/Batch tier priced at 50% of Standard in tables (e.g. Gemini 3.1 Pro input $2.00 standard vs $1.00 Flex/Batch); no explicit percentage wording
Caching: Cached input at 10% of input in tables (e.g. $2.00 vs $0.20)