# Google Vertex AI vs Boundless

> Vertex AI is Google Cloud's AI platform with Gemini, Claude and MLOps. Boundless is a new inference partner serving open models and tuning reserved capacity.

Canonical: https://www.subconscious.dev/compare/google-vertex-vs-boundless · By The Subconscious Team · Updated October 29, 2026

## How they compare

Vertex AI, now branded Gemini Enterprise Agent Platform, offers 200+ models in Model Garden, including Claude and Gemini 3.8 Flash at an introductory $0.75 in and $3.75 out per million tokens through 2026. Custom training on GPUs or TPUs, pipelines, a feature store, vector search and BigQuery integration sit around it. Boundless only does inference. Its Model API serves open models like GLM-5.3 Flash at $0.12 in and $0.40 out and DeepSeek V4.1 Flash at $0.20 in and $1.00 out, most with 1M context, and resells GPT and Claude models through one OpenAI and Anthropic compatible API.

Vertex is the pick for enterprises on Google Cloud that want Gemini, governed agents and training in one stack. Boundless fits startups that want open-model tokens with no cloud platform to adopt, or a reserved deployment its engineers tune and operate against contracted uptime, throughput and latency targets. It offers no fine-tuning, and reserved capacity is priced per contract.

## 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.

### Boundless

Boundless launched in September 2026 as an inference partner for AI-native startups. It sells two things. The Model API serves pre-tuned models on shared capacity, billed per token from prepaid credits with a budget per API key. Tailored inference reserves capacity for one customer, and Boundless engineers pick the model on the customer’s own evals, tune precision, batching, caching, speculative decoding and parallelism, then run the deployment against uptime, throughput and latency targets written into the contract. A free two-week evaluation tests those targets on real traffic against the customer’s current provider first.

## Which is best, and when

### Choose Google Vertex AI for

- Teams standardized on Google Cloud
- Gemini multimodal work
- Custom training on TPUs

### Choose Boundless for

- Per-token open models from prepaid credits
- Engineers who tune and run your deployment
- Free two-week trial on real traffic

## At a glance

| Attribute | Google Vertex AI | Boundless |
|---|---|---|
| Model access | Closed and open, 200+ models | Open weights, plus closed GPT and Claude |
| Flagship models | Gemini 3.8 Flash, Claude, Gemma | GLM-5.3, DeepSeek V4.1 Flash, Kimi K3 |
| Speed | Flash tier built for low latency | 342 tok/s on DeepSeek V4.1 Flash 1017 (Vercel) |
| Price | Gemini 3.8 Flash $0.75 in, $3.75 out until 2027, then $1.50/$7.50 | $0.04–$2.30 in, $0.21–$11.40 out per 1M (open) |
| Customization | Custom training on GPUs or TPUs | Serving-stack tuning, no fine-tuning |
| Deployment | Managed on Google Cloud | Serverless API, reserved tailored capacity |
| Long context | 1M on Gemini 3.8 Flash | 1M context on most models |

## FAQ

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

Vertex AI is Google Cloud's AI platform with Gemini, Claude and MLOps. Boundless is a new inference partner serving open models and tuning reserved capacity.

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

Teams standardized on Google Cloud; Gemini multimodal work; Custom training on TPUs.

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

Per-token open models from prepaid credits; Engineers who tune and run your deployment; Free two-week trial on real traffic.

### Is Google Vertex AI or Boundless cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out until 2027, then $1.50/$7.50. Boundless: $0.04–$2.30 in, $0.21–$11.40 out per 1M (open). The cheaper choice depends on the model and workload.

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

Google Vertex AI: 1M on Gemini 3.8 Flash. Boundless: 1M context on most models.

## 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 Boundless](https://www.subconscious.dev/compare/subconscious-vs-boundless.md).

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