Gemini
A family is a named generation or product line. Scores below are the sum of its named releases and any documented internal systems in the same line.
Benefit
+1.98
Harm
0.00
Net Good
1.98
Releases
Leaderboard
| Rank | Model | Organization | Benefit | Harm | Net | Events | Last impact |
|---|---|---|---|---|---|---|---|
| 34 | Gemini Deep Think | Google DeepMind | +1.06 | 0.00 | 1.06 | 2 | 11 Feb 2026 |
| 39 | Gemini | Google DeepMind | +0.88 | 0.00 | 0.88 | 1 | 14 May 2025 |
| 60 | Gemini 2.0 | Google DeepMind | +0.04 | 0.00 | 0.04 | 1 | 19 Feb 2025 |
Timeline
Events
Aletheia, powered by Gemini Deep Think, solves several Erdős items and writes an eigenweights paper
On 11 February 2026 DeepMind reported that Aletheia, a math agent on Gemini Deep Think, autonomously solved Erdős 1051 (motivating a generalization), disproved clauses of Erdős 1040 and a strong pinned-distance form of 654, and generated a publishable arithmetic-geometry paper on eigenweights without human intervention.
Gemini Deep Think and an OpenAI reasoning model both reach IMO 2025 gold-medal scores
In July 2025, Google DeepMind’s Gemini Deep Think was officially graded at 35/42 on the IMO 2025 paper, and OpenAI reported the same score from an experimental reasoning model graded by former medalists.
AlphaEvolve reports a rank-48 4x4 complex matrix-multiplication tensor and Google infrastructure tweaks
DeepMind’s Gemini-powered AlphaEvolve evolutionary coding agent, announced in May 2025, reported a rank-48 decomposition for 4×4 complex matrix multiplication and internal data-center and training-kernel changes.
Gemini-based AI co-scientist proposes liver-fibrosis targets later tested in organoids
Google’s multi-agent AI co-scientist, built on Gemini 2.0, proposed epigenetic targets and drugs for liver fibrosis; Stanford collaborators reported anti-fibrotic activity of vorinostat and BRD4 inhibitors in human hepatic organoids.