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01 / ModelsTrue, but
Google calls EmbeddingGemma 2 best-in-class for its size. The code score that rose from 68.76 to 78.68 is Google's own figure.
Google, EmbeddingGemma 2 launch post (6 Oct 2026) ·
Google called EmbeddingGemma 2 a best-in-class open model for natively multimodal embeddings, and reported a 9.92-point gain on its code benchmark, from 68.76 to 78.68.
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Achieves leading scores among sub-1B multimodal embedders for its size across benchmarks like MTEB (Massive Text Embedding Benchmark) Code and MAEB (Massive Audio Embedding Benchmark), while matching or outperforming many larger models across text, vision, and audio tasks.
Ironclad quotes a 20-minute risk review of an 80-page contract. Its own notes say the agent is Jurist under a new name.
Sharisse Cumberbatch, ANDMORE, quoted in Ironclad's 8 Oct 2026 release ·
Ironclad's 8 October release quotes one customer who cut risk review of an 80-page agreement from about three hours to about 20 minutes with Contract Review Agent.
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Perplexity introduced Q2D-Web as a public leaderboard built from 190 million web documents and 69,721 agent-reformulated queries sampled from its production search traffic.
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It consists of 190 million web documents and 69,721 agent-reformulated queries in ten languages, sampled over nine months of PII-free production search traffic.
Reading estimate: 520 words at 200 words per minute. Source quotes and the optional sections below add reading time.
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