Crusoe Managed Inference vs Fireworks AI: Token Pricing, Speed & Intelligence
Full comparison of Crusoe Managed Inference and Fireworks AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
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.
Fireworks AI
H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference
Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.
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Live token pricing
Strengths and weaknesses
Crusoe Managed Inference
Fireworks AI
Key differentiators
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.
Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.
Frequently asked questions
Crusoe Managed Inference FAQs
What is Crusoe Managed Inference?
Crusoe Managed Inference is the serverless LLM API from Crusoe Cloud, offering 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. See crusoe.ai/cloud/managed-inference for current rates.
How much does Crusoe Managed Inference cost?
As of October 2026: DeepSeek V3 0324 $0.50/$1.50, DeepSeek V4 Flash $0.14/$0.28, DeepSeek V4 Pro $1.74/$3.48, Gemma 4 31B $0.14/$0.40, GLM 5.1 $1.20/$4.40, gpt-oss-120b $0.05/$0.20, Llama 3.3 70B $0.25/$0.75, Qwen3 235B A22B 2507 $0.22/$0.80. See crusoe.ai/cloud/managed-inference for current rates.
Is Crusoe Cloud clean energy?
Yes. Crusoe Cloud is known for using stranded and flared gas to power its GPU infrastructure, reducing the carbon footprint of AI compute compared to conventional data centers.
Fireworks AI FAQs
What GPU hardware does Fireworks AI offer?
Fireworks AI offers on-demand H100, H200, B200, B300, and GB300 GPU instances for dedicated deployments, alongside their serverless inference API for pay-per-token access.
What is the Fireworks Serverless Training API?
Fireworks AI's Serverless Training API lets you fine-tune open-weight models without managing GPU infrastructure. Upload your training data, run fine-tuning jobs, and deploy the resulting model via their inference API.
What models does Fireworks AI offer?
Fireworks AI hosts Llama 3.3 70B, DeepSeek R1, Mixtral, and other popular open-weight models. They focus on production-ready models with optimised inference rather than the broadest possible catalog.
Provider resources
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.
Fireworks AI — H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference
Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.
Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.
Key strengths compared
Crusoe Managed Inference
- 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
- Smaller model catalog than Together AI or Fireworks
- No proprietary frontier models
Fireworks AI
- 320+ tokens/sec on Llama 3.3 70B — fast GPU inference
- H100/H200/B200/B300/GB300 on-demand GPU access
- Serverless Training API for fine-tuning without infrastructure
- Slightly higher pricing than budget alternatives
- Smaller model catalog than Together AI
Key weaknesses compared
Crusoe Managed Inference
- Smaller model catalog than Together AI or Fireworks
- No proprietary frontier models
- Less mature inference platform than dedicated inference providers
Fireworks AI
- Slightly higher pricing than budget alternatives
- Smaller model catalog than Together AI
- Serverless Training is newer and less battle-tested
Provider category context
Crusoe Managed Inference is a cloud, founded in 2020. Fireworks AI is a inference api, founded in 2022. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose Crusoe Managed Inference if you need clean-energy gpu infrastructure — stranded and flared gas power. Choose Fireworks AI if you need 320+ tokens/sec on llama 3.3 70b — fast gpu inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.