LTX 2.5 on One RTX PRO 6000: A 10-Second 1080p Video With Audio in 90 Seconds
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AI & ML interests
Open-model inference APIs, OpenAI-compatible endpoints, LLM · vision · speech · video, RTX PRO 6000 GPU Cloud
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Language and vision models on EcoHash, with our own TTFT, per-token latency and precision published next to every number.
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zai-org/GLM-5.2
Text Generation • 753B • Updated • 324k • • 5.21k -
deepseek-ai/DeepSeek-V4-Pro
Text Generation • 1.6T • Updated • 336k • • 5.7k -
Qwen/Qwen3.6-35B-A3B
Image-Text-to-Text • 36B • Updated • 4.21M • • 3.11k -
Qwen/Qwen3-Coder-30B-A3B-Instruct
Text Generation • 31B • Updated • 1.62M • • 1.32k
Text-to-image on EcoHash from $0.01 an image. Latency and images per minute measured end-to-end on one RTX PRO 6000.
Language and vision models on EcoHash, with our own TTFT, per-token latency and precision published next to every number.
-
zai-org/GLM-5.2
Text Generation • 753B • Updated • 324k • • 5.21k -
deepseek-ai/DeepSeek-V4-Pro
Text Generation • 1.6T • Updated • 336k • • 5.7k -
Qwen/Qwen3.6-35B-A3B
Image-Text-to-Text • 36B • Updated • 4.21M • • 3.11k -
Qwen/Qwen3-Coder-30B-A3B-Instruct
Text Generation • 31B • Updated • 1.62M • • 1.32k
Speech recognition and synthesis on EcoHash. WER, real-time factor and time to first audio, all measured by us end-to-end.
Text-to-image on EcoHash from $0.01 an image. Latency and images per minute measured end-to-end on one RTX PRO 6000.
Embedding and reranking on EcoHash - the two halves of a RAG pipeline, with the measured cost of each stage.