# Google Vertex AI vs Cohere

> Vertex AI is a full Google Cloud platform with Gemini, Claude and MLOps. Cohere is a focused model vendor whose stack can leave any cloud and run on-prem.

Canonical: https://www.subconscious.dev/compare/google-vertex-vs-cohere · By The Subconscious Team · Updated September 30, 2026

## How they compare

Vertex AI is a platform, Cohere is a model vendor. Vertex's Model Garden offers 200+ models including Gemini 3.8, Claude and Gemma, with Gemini 3.8 Flash at $0.75 in and $3.75 out and a 1M window. Around them sit Agent Studio, the Agent Development Kit, Memory Bank, custom training on GPUs or TPUs and deep BigQuery integration. Cohere offers the Command family, with Command A at $2.50 in and $10 out and 256K context, plus Embed 4 and Rerank 4 for retrieval and the North platform for internal agents. On context length, multimodal breadth and per-token price on Flash, Vertex has the edge.

Portability is Cohere's strongest argument. Its models run on its own API, Bedrock, SageMaker, Azure AI Foundry, Oracle OCI, any VPC or fully on-prem, with fine-tuning inside that environment. Vertex pipelines, features and registries are Vertex-native, which creates real lock-in, and its pricing is split across many services and hard to forecast. Cohere's Command A+ pricing is not published either, so production use often starts with sales. Enterprises committed to Google Cloud get more from Vertex. Those that need one model vendor across clouds or inside their own data center should look at Cohere.

## What each one does

### Google Vertex AI

Vertex AI is Google Cloud's enterprise AI platform. At Google Cloud Next on April 22, 2026, Google rebranded it the Gemini Enterprise Agent Platform with an agent-first structure, though the API endpoint and most docs still say Vertex. Model Garden offers 200+ models, including Google's Gemini 3.8 family, Anthropic's Claude models and open models like Gemma, alongside Imagen, Veo and Chirp for media and speech. Google's own TPUs sit underneath much of its first-party serving.

### Cohere

Cohere is a Toronto-based lab that sells models and platforms to banks, governments and large enterprises rather than consumers. Its generative line is the Command family. Command A+, released May 20, 2026, is a 218B-parameter mixture-of-experts model with 25B active, published under Apache 2.0 with a 128K context window, and it combines reasoning, vision, translation and tool use in one set of weights. Command A has a 256K window and lists at $2.50 in and $10 out per million tokens, while Command R7B costs $0.0375 in. June 2026 added North Mini Code, a 30B Apache 2.0 coding model, and the lineup also includes Aya multilingual models and Transcribe for speech.

## Which is best, and when

### Choose Google Vertex AI for

- Teams already building on Google Cloud and BigQuery
- Long-context and video work on Gemini
- Custom training on TPUs with managed MLOps

### Choose Cohere for

- One model vendor across AWS, Azure and OCI
- On-prem deployment outside any public cloud
- Dedicated retrieval models for enterprise search

## At a glance

| Attribute | Google Vertex AI | Cohere |
|---|---|---|
| Model access | Closed and open, 200+ models | Closed, plus open Command A+ |
| Flagship models | Gemini 3.8 Flash, Claude, Gemma | Command A+, Command A, Embed 4, Rerank 4 |
| Speed | Flash tier built for low latency | 375 tok/s on Command A+ W4A4, per Cohere |
| Price | Gemini 3.8 Flash $0.75 in, $3.75 out | $0.0375–$2.50 in, $0.15–$10 out per 1M |
| Customization | Custom training on GPUs or TPUs | Enterprise fine-tuning, incl. private |
| Deployment | Managed on Google Cloud | API, Bedrock, Azure, OCI, VPC, on-prem |
| Long context | 1M on Gemini 3.8 Flash | 256K on Command A; 128K on A+ |

## FAQ

### What is the difference between Google Vertex AI and Cohere?

Vertex AI is a full Google Cloud platform with Gemini, Claude and MLOps. Cohere is a focused model vendor whose stack can leave any cloud and run on-prem.

### When should I choose Google Vertex AI over Cohere?

Teams already building on Google Cloud and BigQuery; Long-context and video work on Gemini; Custom training on TPUs with managed MLOps.

### When should I choose Cohere over Google Vertex AI?

One model vendor across AWS, Azure and OCI; On-prem deployment outside any public cloud; Dedicated retrieval models for enterprise search.

### Is Google Vertex AI or Cohere cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out. Cohere: $0.0375–$2.50 in, $0.15–$10 out per 1M. The cheaper choice depends on the model and workload.

### Which has more context, Google Vertex AI or Cohere?

Google Vertex AI: 1M on Gemini 3.8 Flash. Cohere: 256K on Command A; 128K on A+.

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs Google Vertex AI](https://www.subconscious.dev/compare/subconscious-vs-google-vertex.md), [Subconscious vs Cohere](https://www.subconscious.dev/compare/subconscious-vs-cohere.md).

Full profiles: [Google Vertex AI](https://www.subconscious.dev/providers/google-vertex.md), [Cohere](https://www.subconscious.dev/providers/cohere.md).