Qwen/Qwen3-32B-TEE
Small and fast model with great intelligence per dollar
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Small and fast model with great intelligence per dollar
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Small and fast model with great intelligence per dollar
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DeepSeek-V3.2 is an open-source LLM optimized for efficient reasoning and agent tasks through sparse attention and reinforcement learning, useful for complex problem-solving and tool-use applications.
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GLM-5.1 is a large language model optimized for agentic tasks and coding that excels at sustained problem-solving over long horizons through iterative reasoning and tool use.
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MiniMax-M2.5 is a frontier-class LLM excelling at coding, agentic tool use, and office automation tasks, with state-of-the-art performance on benchmarks like SWE-Bench while being dramatically more cost-effective than competitors.
Structured guard classifier for Halo0.8B-guard-v1
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HaloQwen Output Guard
Z-Image Turbo: fast text-to-image generation
Four classic image models on one chute: FLUX.1-schnell + three SDXL checkpoints
Find objects in images
TurboDiffusion I2V: Wan2.2-A14B-720P, 4-step distilled, SLA
Edit images with prompts
Halo Guard Alpha 4B
One chute, 12 models, 13 endpoints — covering text-to-speech, voice cloning, voice design, transcription, denoising, source separation, speaker verification, VAD, and language detection. Including Kokoro-82M, Qwen3-TTS 1.7B, Whisper large-v3-turbo, NVIDIA Canary-Qwen 2.5B, and NVIDIA Parakeet TDT.
Multimodal reasoning: video, audio, image, and text → answers, summaries, and tools
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One chute, 12 models, 13 endpoints — covering text-to-speech, voice cloning, voice design, transcription, denoising, source separation, speaker verification, VAD, and language detection. Including Kokoro-82M, Qwen3-TTS 1.7B, Whisper large-v3-turbo, NVIDIA Canary-Qwen 2.5B, and NVIDIA Parakeet TDT.
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