DeepSeek: DeepSeek V4.1 Flash
Causal encoder-decoder activates 8B parameters for input and 16B for output, reducing the compute needed for long inputs.
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Causal encoder-decoder activates 8B parameters for input and 16B for output, reducing the compute needed for long inputs.
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context…
Reuses the GLM-5.2 base with new post-training; exposes low, high and max reasoning effort, defaulting to max.
2.8T total and 104B active parameters; combines Kimi Delta Attention with native image/video input under the Kimi K3 license.
GLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on…
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: {instruction}…
Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: {instruction} {initial_code}…