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Black Forest Labs vs Crusoe Managed Inference: Token Pricing, Speed & Intelligence

Full comparison of Black Forest Labs and Crusoe Managed Inference — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Black Forest Labs

FLUX 1.1 Pro Ultra — the quality benchmark for commercial image generation

Black Forest Labs created FLUX, the model family that has become the quality benchmark for both open and commercial image generation. FLUX 1.1 Pro Ultra produces photorealistic images at up to 4MP resolution. The 2026 lineup adds FLUX 1.1 Pro Ultra (highest quality), FLUX 1.1 Pro (production), FLUX.1 Dev (open-weight, fine-tuning), and FLUX.1 Schnell (open-weight, fastest). FLUX models are available via the BFL API and through Replicate, fal.ai, and other inference platforms.

Commercial image productionPhotorealistic generationCreative AISelf-hosted image generationFine-tuning
Proprietary modelsHosts open weights

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.

Open-sourceCost-efficiencyClean energyReasoningChat
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

Black Forest Labs

FLUX 1.1 Pro Ultra: highest-quality commercial image generation available
FLUX.1 Dev and Schnell: open-weight models for fine-tuning and self-hosting
FLUX.1 Schnell: fastest open-weight image generation model
Available on Replicate, fal.ai, and other inference platforms
Consistently outperforms Stable Diffusion 3.5 on photorealism benchmarks
Strong prompt adherence and text rendering in images
Newer company with smaller ecosystem than Stable Diffusion
Pro models require API access — no self-hosting for highest quality
Less community fine-tuning ecosystem than SD

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
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

Key differentiators

Black Forest Labs

FLUX 1.1 Pro Ultra produces the highest-quality AI images available — consistently outperforming Stable Diffusion and competing with Midjourney on photorealism — with open-weight Dev/Schnell variants for self-hosting.

Crusoe 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.

Frequently asked questions

Black Forest Labs FAQs

What is the difference between FLUX 1.1 Pro Ultra and FLUX.1 Dev?

FLUX 1.1 Pro Ultra is a commercial API model offering the highest quality output at up to 4MP resolution. FLUX.1 Dev is an open-weight model available for self-hosting and fine-tuning, with slightly lower quality than Pro Ultra but full weight access.

How does FLUX compare to Stable Diffusion 3.5?

FLUX consistently outperforms SD 3.5 on image quality benchmarks, particularly for photorealism and prompt adherence. FLUX Schnell is also significantly faster than SD 3.5 for equivalent quality.

Where can I access FLUX models?

FLUX models are available via the BFL API directly, and through Replicate, fal.ai, Novita AI, and other inference platforms. FLUX.1 Dev and Schnell weights are also available on Hugging Face for self-hosting.

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.

Provider resources

Black Forest Labs — FLUX 1.1 Pro Ultra — the quality benchmark for commercial image generation

Black Forest Labs created FLUX, the model family that has become the quality benchmark for both open and commercial image generation. FLUX 1.1 Pro Ultra produces photorealistic images at up to 4MP resolution. The 2026 lineup adds FLUX 1.1 Pro Ultra (highest quality), FLUX 1.1 Pro (production), FLUX.1 Dev (open-weight, fine-tuning), and FLUX.1 Schnell (open-weight, fastest). FLUX models are available via the BFL API and through Replicate, fal.ai, and other inference platforms.

FLUX 1.1 Pro Ultra produces the highest-quality AI images available — consistently outperforming Stable Diffusion and competing with Midjourney on photorealism — with open-weight Dev/Schnell variants for self-hosting.

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.

Key strengths compared

Black Forest Labs

  • FLUX 1.1 Pro Ultra: highest-quality commercial image generation available
  • FLUX.1 Dev and Schnell: open-weight models for fine-tuning and self-hosting
  • FLUX.1 Schnell: fastest open-weight image generation model
  • Newer company with smaller ecosystem than Stable Diffusion
  • Pro models require API access — no self-hosting for highest quality

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

Key weaknesses compared

Black Forest Labs

  • Newer company with smaller ecosystem than Stable Diffusion
  • Pro models require API access — no self-hosting for highest quality
  • Less community fine-tuning ecosystem than SD

Crusoe Managed Inference

  • Smaller model catalog than Together AI or Fireworks
  • No proprietary frontier models
  • Less mature inference platform than dedicated inference providers

Provider category context

Black Forest Labs is a frontier lab, founded in 2024. Crusoe Managed Inference is a cloud, founded in 2020. 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 Black Forest Labs if you need flux 1.1 pro ultra: highest-quality commercial image generation available. Choose Crusoe Managed Inference if you need clean-energy gpu infrastructure — stranded and flared gas power. 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.