LANGUAGE MODEL Google/DeepMind Last updated:

AlphaProof

Math Olympiad Reasoning

DeepMind's mathematical reasoning system that, in July 2024, achieved silver-medal-level performance on the International Mathematical Olympiad — solving 4 of 6 problems used in the actual 2024 IMO competition. AlphaProof works by translating natural-language problems into the Lean 4 theorem prover, then using reinforcement learning to search for proofs that the prover verifies. The verifiable-reward signal is what makes the RL tractable.

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Why it matters

AlphaProof is the proof-of-concept that AI can reach expert-human performance on rigorous mathematical reasoning given the right scaffolding (formal verification). The implications for mathematical research, formal verification of software, and "AI as scientific collaborator" are still being explored.

Core Capabilities

Science
Built for biology, chemistry, materials, weather, or math research.
Reasoning
Solves complex math, logic, and planning tasks.
Agent Workflows
Built for tool use and autonomous tasks.
Long Documents
Handles entire codebases, books, and multi-doc RAG.

Context Window

Context window not disclosed.

Availability

API
Not available
Product / App
Not available
Open Source
Not released
Enterprise
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Pricing Model

Research artifact
Not commercially released.
Research

Capability / Performance

Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).

Lower 20% Upper 80% This model
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.

What it feels like

  • Language model from DeepMind — see the linked sources below for benchmark and review coverage
  • Tool-use and agent loops are the typical fit per the published model card

Best use cases

  • Agent / tool-use workflows that match the model's published benchmarks
  • See the model spec and sources block for benchmarked use cases

Tools to try

Gemini app AI Studio

Not ideal for

  • Tasks far outside the modalities listed in this model's spec
  • Workflows where a more recent successor in the same family scores higher