Our data provides a provider-agnostic look at the competitive dynamics shaping AI. You can read the full Summer 2025 report on the Poe blog at https://
poe.com/blog/report-su
mmer-2025-ai-model-usage-trends
… and explore these models firsthand on http://
Poe.com. (6/6)
LLMS
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Summer 2025 AI Model Usage Trends and Competitive Dynamics
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OpenAI Extends Lead with GPT-5 While Google Gains
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OpenAI extends its lead in text with GPT-5, but Google is gaining ground. OpenAI models now command over 50% of text usage. At the same time, Google’s Gemini-2.5 series has steadily grown to ~10% share, reversing its earlier decline and showing sustained momentum. (4/6)
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Claude Opus 4.1 Achieves Expert-Level Performance on GDPval
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On GDPval, expert graders compared outputs from leading models to human expert work. Claude Opus 4.1 delivered the strongest results, with just under half of its outputs rated as good as or better than expert work. Just as striking is the pace of progress: OpenAI’s frontier
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LLMs Shaping Politics: Comparing Models with Real-World Polls
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The team envisions comparing model outputs w/real-world polls, expanding studies to other democracies, examining newer reasoning or "thinking" models, & exploring downstream effects on users. For now, the dataset helps us understand how LLMs are shaping modern political
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LLM Election Data 2024 Dataset Released by Researchers
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Authors: @cen_sarah
, @andrew_ilyas
, Hedi Driss, Charlotte Park, @aspenkhopkins
, @charapod
, & @aleks_madry Data: https://
huggingface.co/datasets/sarah
cen/llm-election-data-2024
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LLMs Political Candidate Trait Association Patterns
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Other fascinating findings: – LLMs exhibit strong associations between candidates & traits, like "competent" & "temperamental." When Biden dropped out, words like "charismatic" & "compassionate" moved to Harris, while "competent" & "trustworthy" moved to Trump. – GPT-4 &
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MIT team releases 16M LLM responses dataset from 2024
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The MIT CSAIL, Sloan, & LIDS team collected each LLM’s responses to their carefully crafted prompts from July to November 2024. They generated a dataset of over 16M time-stamped responses from LLMs, answering questions about topics such as candidate traits, election issues, &
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LLM Behavior During 2024 US Election: Stability and Contradictions
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The dataset presents a multidimensional view of LLM behavior that captures both stability & change during the first major US election since LLMs became mainstream. It essentially lets you watch these models think, stumble, & sometimes contradict themselves during the 2024
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MIT Study: How LLMs Bias Political Election Narratives
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How do LLMs respond to questions about the election? MIT researchers ran a 4-month study, querying 12 state-of-the-art models on over 12K prompts daily. They found that the models can reinforce certain political narratives, mislead, or even exhibit manipulative tendencies:
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General-Purpose Language Models Excel at Summarization Tasks
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We don't have a model specialized in summarization (yet), but the general-purpose LFMs are already very good at it!