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Thursday, 19 February 2026

Gemini 3.1 Pro: A smarter model for your most complex tasks

Google DeepMind 5 months ago 1

Google released Gemini 3.1 Pro, an upgraded AI model designed for complex reasoning tasks across consumer, developer, and enterprise products. On the ARC-AGI-2 benchmark for solving novel logic patterns, 3.1 Pro achieved 77.1%, more than double the performance of its predecessor 3 Pro. Developers can access the model through the Gemini API and AI Studio, while consumers with Google AI Pro or Ultra subscriptions gain higher usage limits in the Gemini app and exclusive access in NotebookLM.

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Model Release Gemini

Consistency diffusion language models: Up to 14x faster inference without sacrificing quality

Together AI 5 months ago 16

Researchers introduced Consistency Diffusion Language Models (CDLM), which accelerates diffusion-based language model inference by combining consistency-based training with block-wise key-value caching. The method reduces refinement steps by 4.1x to 7.7x and achieves latency improvements up to 14.5x on coding benchmarks while maintaining quality through trajectory-consistent training objectives. This enables diffusion models to compete with autoregressive approaches on inference speed while preserving their bidirectional context capabilities.

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Language Models Inference Optimization Diffusion Models

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