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The Ledger A sourced historical record of AI

Google Launches Gemini 2.5 Pro Experimental with Native Thinking

A ledger entry in the models archive, dated 2025-03-25.

Summary

Google DeepMind released Gemini 2.5 Pro Experimental on March 25, 2025 as the first release in its Gemini 2.5 family. Google described it as a thinking model and reported leading benchmark and LMArena results. It followed the earlier Gemini 2.0 Flash Thinking, so it was not the first Gemini thinking model.

Editorial correction, October 26, 2026

The same March 25 primary announcement identifies Gemini 2.0 Flash Thinking as Google's earlier thinking model. The first-Gemini implication is removed; being the first 2.5 release is distinct from originating thinking across the Gemini family.

Revision record with the prior summary and metadata.

The original narrative below is preserved as published; use the revised summary and this note for the corrected account.

What Happened

Gemini 2.5 Pro Experimental shipped with native reasoning built directly into the model's architecture rather than bolted on as a post-training step. The model demonstrated a 63.8% score on SWE-bench Verified, placing it among the strongest coding models at the time, and reached 18.8% on Humanity's Last Exam, a benchmark designed to stress-test the upper limits of frontier reasoning. Google simultaneously touted its 1-million-token context window and native multimodal capabilities spanning text, code, images, audio, and video. The jump to #1 on LMArena — a crowdsourced human-preference leaderboard — was particularly notable given that Google had been trailing OpenAI and Anthropic on that metric for months.

Why It Matters

The release reignited debate about whether scaling compute in conjunction with integrated reasoning loops produces qualitatively different capability gains rather than incremental ones. Gemini 2.5 Pro's benchmark performance, especially its SWE-bench score, was cited by scaling optimists as evidence that the scaling playbook still holds when combined with chain-of-thought training. Skeptics countered that leaderboard rankings are gameable and that HLE performance below 20% reflects fundamental limits no current architecture has overcome.

§ How to read the metadata
Landmark
Fundamentally alters the trajectory; 2–5 per year.
Major
Meaningfully shifts the landscape; 2–4 per month.
Notable
Worth documenting; significance can be upgraded later.
Confidence
High = primary sources corroborate. Medium = credible secondary only. Low = provisional. Disputed = credible sources disagree.
Contestation
Uncontested = no formal challenge. Contested = at least one challenge open. Superseded = replaced by a later entry. Unresolved = dispute still open.

References

  1. Gemini 2.5: Our most intelligent AI model , Google (2025-03-25) primary document archived copy
  2. Google's Gemini 2.5 Pro model tops LMArena by close to 40 points (2025-03-25) secondary reporting

See also

This record last modified .