# Google Vertex AI vs RunInfra

> A hyperscaler's full AI platform against a small startup with mid-size open models and an agent that builds deployments. Vertex is broader; RunInfra is simpler for small teams.

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

## How they compare

RunInfra has two products, both aimed at small teams. Its Model APIs serve a tiny curated library of mid-size open models, like Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, behind one key that works with OpenAI and Anthropic SDKs, with coding plans from $10 a month. Its second product is an agent that takes a plain-English request, benchmarks models across GPUs from L4 to B200, searches quantized variants and ships an endpoint that scales to zero with cold starts under two seconds. Vertex AI offers far more: Gemini 3.8, Claude, 200+ models and a full MLOps stack on Google Cloud.

The trade is breadth versus effort. Vertex expects an ML team that will use pipelines, a feature store and a model registry, and rewards that team with governance and BigQuery integration. RunInfra targets developers without ML ops staff who want a tuned open model or a voice pipeline, such as Whisper into an LLM into a TTS voice, running cheaply. RunInfra's library sits far from frontier quality, and the company is young with little independent benchmarking. Frontier-quality agents and regulated work belong on Vertex.

## 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.

### RunInfra

RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve a small curated library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B and Ornith 1.5 35B, behind one key that works with both the OpenAI and Anthropic SDKs. Cached context bills at a discount. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.

## Which is best, and when

### Choose Google Vertex AI for

- Frontier-quality agents on Gemini or Claude
- ML teams that want full MLOps tooling
- Enterprise governance and procurement

### Choose RunInfra for

- Cheap open models inside Claude Code or Codex
- Small teams deploying a tuned model without ML ops
- Voice pipelines chaining speech, LLM and TTS

## At a glance

| Attribute | Google Vertex AI | RunInfra |
|---|---|---|
| Model access | Closed and open, 200+ models | Open weights |
| Flagship models | Gemini 3.8 Flash, Claude, Gemma | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | Flash tier built for low latency | Cold starts under 2s |
| Price | Gemini 3.8 Flash $0.75 in, $3.75 out | Coding plans from $10 a month |
| Customization | Custom training on GPUs or TPUs | Uploads up to 50 GB; auto-quantization |
| Deployment | Managed on Google Cloud | Model APIs, agent-built endpoints |
| Long context | 1M on Gemini 3.8 Flash | Varies by model |

## FAQ

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

A hyperscaler's full AI platform against a small startup with mid-size open models and an agent that builds deployments. Vertex is broader; RunInfra is simpler for small teams.

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

Frontier-quality agents on Gemini or Claude; ML teams that want full MLOps tooling; Enterprise governance and procurement.

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

Cheap open models inside Claude Code or Codex; Small teams deploying a tuned model without ML ops; Voice pipelines chaining speech, LLM and TTS.

### Is Google Vertex AI or RunInfra cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.

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

Google Vertex AI: 1M on Gemini 3.8 Flash. RunInfra: Varies by model.

## 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 RunInfra](https://www.subconscious.dev/compare/subconscious-vs-runinfra.md).

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