GLM-4.5-Air-REAP-82B-A12B
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From language to images, open weights to APIs. Understand capabilities and compare real costs.
Find the right engine for your next idea.
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One 21 GB ComfyUI diffusion-model file that does MiniMax-H3 text/image-to-video **and** reference-to-video in **4 steps**, with a distilled turbo and a motion-smoothing style LoRA already folded into the weights. `diffusion_models/minimax_h3_fused_refdelta_r1024_turbo8_mystic07_int8_convrot.safetensors` -> `ComfyUI/models/diffusion_models/` **Hardware.** The timings below are from a 96 GB card with everything resident. Smaller cards work too: ComfyUI's model management loads and offloads the transformer, text encoder and VAEs as they are needed, so the same graphs run, just slower, and the 21 GB file is the smallest footprint this recipe has. **AMD / ROCm:** the recipe was developed on an AMD box; use patientx's ComfyUI ROCm fork, , which also carries a ROCm build of the SLA attention node.
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Adjust provider, category or input/output filters. New models are added continuously.
Adjust monthly token usage to compare estimated API costs.
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.