# OpenAI vs Crusoe

> OpenAI sells closed frontier models through a deep tool platform. Crusoe builds its own data centers and serves open models like DeepSeek, GLM and Kimi.

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

## How they compare

This is a closed lab against an infrastructure company. OpenAI's lineup runs from GPT-6 Astra at $10 in and $50 out down to GPT-5.6 Luna at $0.20 in and $1.20 out, all with a 1.05M context window, though prompts over 272K bill input at 2x and output at 1.5x. Crusoe serves open weights, including DeepSeek V4, GLM 5.3, Kimi K2.6, Gemma, gpt-oss and Nemotron, from $0.05 in and $0.20 out up to $1.74 in and $4.40 out per million. Context varies by model on Crusoe, and its cluster-wide MemoryAlloy KV cache bills cached input well below list. OpenAI bills cached input at 10% of list, so both reward repeated prefixes, but only Crusoe exposes the weights and hardware underneath.

OpenAI wins on model quality and platform. GPT-6 Astra posts frontier results on computer use and coding, the Responses API bundles web search, file search, code execution and MCP, and Batch halves prices. It also sells through Azure OpenAI and Bedrock. Crusoe's advantages are control and ownership. It offers serverless LoRA fine-tuning plus dedicated endpoints and raw H100, H200, B200 and GB200 capacity, and it built the Abilene campus behind OpenAI's own Stargate project. Teams that want the best closed model and the richest hosted tools should stay on OpenAI. Teams moving to open weights, or needing fine-tunes and GPU clusters on one account, fit Crusoe better, and Crusoe serves OpenAI's open gpt-oss models too.

## What each one does

### OpenAI

OpenAI runs the most widely adopted closed-model API. Its September 2026 lineup has GPT-6 Astra at the top for computer use, coding and long agentic runs, priced at $10 in and $50 out per million tokens. Below it sits the GPT-5.6 family: Sol for hard professional work, Terra as the balanced default, and Luna for high-volume jobs at $0.20 in and $1.20 out. All of them carry a 1.05M token context window with up to 128K output.

### Crusoe

Crusoe started in 2018 turning wasted natural gas into power for computing and has since become a vertically integrated AI infrastructure company: it sources energy, builds data centers and rents GPUs through Crusoe Cloud. It designed and built the Abilene, Texas campus behind the OpenAI and Oracle Stargate project, planned at 1.2 GW, and in March 2026 announced an adjacent 900 MW campus for Microsoft. On September 17, 2026 it closed the first part of a $3.9B Series F at a $30.9B post-money valuation, and it reports over 6 GW of contracted capacity. Crusoe Cloud lists GB200 NVL72, B200 and AMD MI355X by quote, with H100 at $3.90 and H200 at $4.29 per GPU-hour on demand.

## Which is best, and when

### Choose OpenAI for

- Frontier computer use and coding with GPT-6 Astra
- Agents built on hosted tools in the Responses API
- Buying through Azure OpenAI or Bedrock

### Choose Crusoe for

- Moving off closed APIs to open weights like GLM 5.3
- Fine-tuning an open model with LoRA
- Renting GPU clusters next to inference

## At a glance

| Attribute | OpenAI | Crusoe |
|---|---|---|
| Model access | Closed, plus open gpt-oss | Open weights |
| Flagship models | GPT-6 Astra, GPT-5.6 Sol, Terra, Luna | DeepSeek V4, GLM 5.3, Kimi K2.6, Nemotron 3 |
| Speed | Fast mode: up to 2.5x at 2x price | Up to 9.9x faster TTFT vs vLLM (vendor claim) |
| Price | $0.20–$10 in, $1.20–$50 out per 1M | $0.05–$1.74 in, $0.20–$4.40 out per 1M |
| Customization | N/A | Serverless LoRA fine-tuning |
| Deployment | API, Azure OpenAI, Bedrock | Serverless, self-serve and tailored dedicated, raw GPUs |
| Long context | 1.05M; 2x input past 272K | Varies by model; cluster-wide KV cache |

## FAQ

### What is the difference between OpenAI and Crusoe?

OpenAI sells closed frontier models through a deep tool platform. Crusoe builds its own data centers and serves open models like DeepSeek, GLM and Kimi.

### When should I choose OpenAI over Crusoe?

Frontier computer use and coding with GPT-6 Astra; Agents built on hosted tools in the Responses API; Buying through Azure OpenAI or Bedrock.

### When should I choose Crusoe over OpenAI?

Moving off closed APIs to open weights like GLM 5.3; Fine-tuning an open model with LoRA; Renting GPU clusters next to inference.

### Is OpenAI or Crusoe cheaper?

OpenAI: $0.20–$10 in, $1.20–$50 out per 1M. Crusoe: $0.05–$1.74 in, $0.20–$4.40 out per 1M. The cheaper choice depends on the model and workload.

### Which has more context, OpenAI or Crusoe?

OpenAI: 1.05M; 2x input past 272K. Crusoe: Varies by model; cluster-wide KV cache.

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs OpenAI](https://www.subconscious.dev/compare/subconscious-vs-openai.md), [Subconscious vs Crusoe](https://www.subconscious.dev/compare/subconscious-vs-crusoe.md).

Full profiles: [OpenAI](https://www.subconscious.dev/providers/openai.md), [Crusoe](https://www.subconscious.dev/providers/crusoe.md).