
Inference API for SOTA AI Models
Managed endpoints for large-scale,
production-grade inference
Integrate SOTA models with one API call
Easy and secure access with low latency, low cost, and no loss in model quality- Image generationHigh-quality photo-realistic text-to-image generation made possible by a world-class research collaboration.
FLUX.1 Krea [dev]
Black Forest Labs & KreaCost per image: $ 0.0200 - Image generationA distilled open-weight sibling of FLUX.1 [pro], delivering similar quality of image generation while improving efficiency.
FLUX.1 [dev]
Black Forest LabsCost per image: $ 0.0030 - Image generationA LoRA adaptation with enhanced styling capabilities, personalization, and performance.
FLUX.1 [dev] LoRA
Black Forest LabsCost per image: $ 0.0060 - Image editingIterative image editing with strong prompt adherence and character preservation at maximum performance at high speed.
FLUX.1 Kontext [max]
Black Forest LabsCost per image: $ 0.0800 - Image editingAn improved cost-efficiency with a minimal loss in model capabilities compared to FLUX.1 Kontext [max].
FLUX.1 Kontext [pro]
Black Forest LabsCost per image: $ 0.0400 - Image editingAn open-weight, guidance-distilled version of Kontext, unlocking even faster inference speeds and lower generation costs.
FLUX.1 Kontext [dev]
Black Forest LabsCost per image: $ 0.0250 - Speech recognition & translationAn optimized endpoint with speaker diarization, phoneme alignment for word-level timestamps, and subtitle generation in SRT format.
Whisper (large-v3)
OpenAICost per 10 minutes: $ 0.2150
The DataCrunch Inference API
Meet our team
At DataCrunch, our team operates like a mini AI startup within a GPU infrastructure company. We primarily focus on scalable efficient inference while transferring that knowledge to the training regime, from pre-training to post-training. We promote co-research initiatives with the most active and popular open-source projects like SGLang tackling large scale MoE model serving and PyTorch ecosystem (eg. TorchTitan, compiler).
Everything we build is designed to be production-grade, transferable, and aligned with maximizing real-world application.

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