gpt-oss-puzzle-88B

NVIDIAπŸ‡ΊπŸ‡Έ United States
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v1.0major

NVIDIA released gpt-oss-puzzle-88B, an inference-optimized 88B-parameter mixture-of-experts model derived from gpt-oss-120B using the Puzzle NAS framework. Achieves 1.63Γ— throughput improvement on long-context and up to 2.82Γ— on single H100s while maintaining parent accuracy through heterogeneous expert pruning, selective window attention, and knowledge distillation with RL optimization.

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model releaseNVIDIA

NVIDIA releases gpt-oss-puzzle-88B, 88B-parameter reasoning model with 1.63Γ— throughput gains

NVIDIA released gpt-oss-puzzle-88B on March 26, 2026, a 88-billion parameter mixture-of-experts model optimized for inference efficiency on H100 hardware. Built using the Puzzle post-training neural architecture search framework, the model achieves 1.63Γ— throughput improvement in long-context (64K/64K) scenarios and up to 2.82Γ— improvement on single H100 GPUs compared to its parent gpt-oss-120B, while matching or exceeding accuracy across reasoning effort levels.

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