Crusoe Managed Inference
Managed inference on Crusoe Cloud — DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
Crusoe Managed Inference is the serverless LLM inference service from Crusoe Cloud, offering a curated catalog of open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. Crusoe Cloud is known for its clean-energy GPU infrastructure. Pricing is published at crusoe.ai/cloud/managed-inference.
Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters.
- Clean-energy GPU infrastructure — stranded and flared gas power
- Curated open-weight model catalog: DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
- Competitive pricing on flagship open-weight models
- OpenAI-compatible API
- Backed by Crusoe Cloud's GPU compute infrastructure
- Smaller model catalog than Together AI or Fireworks
- No proprietary frontier models
- Less mature inference platform than dedicated inference providers
Crusoe Managed Inference Models
| Model | Modality | Tier | Price | Cached /1M | TTFT | Throughput | Context | Intel. | Caps | |
|---|---|---|---|---|---|---|---|---|---|---|
gpt-oss-120b gpt-oss | Chat | budget | $0.05/ $0.20 in / out per 1M EST Oct 2026 | — | — | — | 128K | — | ||
deepseek-v4-flash DeepSeek V4 | Chat | efficient | $0.14/ $0.28 in / out per 1M EST Oct 2026 | — | — | — | 128K | — | ||
gemma-4-31b Gemma 4 | Chat | efficient | $0.14/ $0.40 in / out per 1M EST Oct 2026 | — | — | — | 128K | — | ||
qwen3-235b-a22b-2507 Qwen3 | Chat | advanced | $0.22/ $0.80 in / out per 1M EST Oct 2026 | — | — | — | 128K | — | ||
llama-3-3-70b Llama 3.3 | Chat | efficient | $0.25/ $0.75 in / out per 1M EST Oct 2026 | — | — | — | 128K | — | ||
deepseek-v3-0324 DeepSeek V3 | Chat | advanced | $0.50/ $1.50 in / out per 1M EST Oct 2026 | — | — | — | 128K | — | ||
glm-5-1 GLM 5 | Chat | advanced | $1.20/ $4.40 in / out per 1M EST Oct 2026 | — | — | — | 128K | — | ||
deepseek-v4-pro DeepSeek V4 | Chat | frontier | $1.74/ $3.48 in / out per 1M EST Oct 2026 | — | — | — | 128K | — |
Crusoe Managed Inference — Frequently Asked Questions (FAQs)
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Full comparison tableCrusoe Managed Inference LLM pricing overview
Crusoe Managed Inference is an inference API provider that hosts open-weight and third-party large language models. Crusoe Managed Inference is the serverless LLM inference service from Crusoe Cloud, offering a curated catalog of open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. Crusoe Cloud is known for its clean-energy GPU infrastructure. Pricing is published at crusoe.ai/cloud/managed-inference. Common use cases include Open-source, Cost-efficiency, Clean energy, Reasoning. Headquartered in San Francisco, CA, founded 2020. All models are accessible via a REST API compatible with standard OpenAI-style request formats, enabling drop-in integration with most LLM frameworks and orchestration tools.
Crusoe Managed Inference vs other LLM providers
Crusoe Managed Inference competes with OpenAI, Anthropic, Google, Groq, Together AI, Mistral, Cohere, and other inference API providers across dimensions of price, throughput, latency, context window, and model intelligence. Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters. Use the LLM provider comparison tool to see Crusoe Managed Inference token pricing, latency, and throughput side-by-side with any other provider. The full LLM pricing table shows all providers ranked by input token cost, output token cost, and throughput in a single sortable view.
Why choose Crusoe Managed Inference?
Crusoe Managed Inference stands out because: Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters.. The API currently offers 8 models, spanning 1 frontier, 3 advanced, 3 efficient, 1 budget tiers. For teams running high-volume inference workloads, prompt caching and batch API endpoints can reduce effective input token costs by 50–90% — check the context window cost guide for a full breakdown of caching economics.
Understanding Crusoe Managed Inference token pricing
Crusoe Managed Inference charges separately for input (prompt) and output (completion) tokens, priced per 1M tokens in USD. Output tokens are typically 3–5× more expensive than input tokens due to the compute cost of autoregressive generation. The cheapest {meta.name} input rate is currently $0.05/1M tokens. Prices shown are sourced from Crusoe Managed Inference's public pricing page and updated every 15 minutes. Need help estimating your spend? Read the LLM API cost calculator guide — it covers tokens, context windows, prompt caching, and batch discounts with worked examples for RAG, chat history, and document processing workloads.
Crusoe Managed Inference context window and model capabilities
Context window size directly affects both capability and cost — every token in the context window is charged as an input token. Crusoe Managed Inference's largest context window is 128K tokens. For RAG and document processing workloads, longer context windows enable richer retrieval but increase per-call costs proportionally. Prompt caching — where supported — stores the KV state of repeated prefixes and charges 75–90% less for cache hits, making it the most impactful cost optimization for applications with consistent system prompts or retrieved documents. See the LLM context window cost guide for a full analysis of how context length affects your API bill.
Self-hosted vs managed inference: when Crusoe Managed Inference makes sense
Managed inference APIs like Crusoe Managed Inference eliminate infrastructure overhead — no GPU provisioning, driver management, or model serving stack to maintain. The trade-off is cost at scale: a single H100 at ~$2.50/hr can serve ~500K tokens/min of Llama 3.3 70B, which at Crusoe Managed Inference API rates would cost significantly more per token. The break-even point depends on your request volume, latency requirements, and engineering capacity. For teams processing fewer than ~10M tokens/day, managed APIs are almost always cheaper when total cost of ownership is considered. Above that threshold, self-hosted inference on rented GPU compute typically wins on unit economics. Read the cheapest GPU cloud guide for a full break-even analysis. Historical Crusoe Managed Inference token price data is available in the LLM price history charts.
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Compare Crusoe Managed Inference vs other providers
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