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Comparison of Grok 4.5, embeddinggemma-2
2 modelsxAIGrok 4.5Remove ×googleembeddinggemma-2Remove ×
What’s differentReasoningEmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…
DateOct 16, 2026DiscoveredOct 8, 2026Listed
Listed rateSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)70.06% ↗Effort: xhigh · single run · equal mean of 7 suitesIndependent resultNot reported
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)78.1% ↗Effort: xhigh · single runIndependent resultNot reported
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)85.9% ↗Effort: xhigh · single runIndependent resultNot reported
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)44% ↗Effort: xhigh · single runIndependent resultNot reported
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)94.3% ↗Effort: xhigh · single runIndependent resultNot reported
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)27.9% ↗Effort: xhigh · single runIndependent resultNot reported
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)73% ↗Effort: xhigh · single runIndependent resultNot reported
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)87.2% ↗Effort: xhigh · single runIndependent resultNot reported
Context window—8.2K
Max output——
Parameters——
ReasoningSupportedNot reported

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