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ClosedGoogle DeepMind/10 trustVerified

AlphaCode 2

Gemini-powered competitive programming system at the 85th percentile on Codeforces.

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About

AlphaCode 2, unveiled by Google DeepMind alongside Gemini in December 2023, rebuilt the original AlphaCode on fine-tuned Gemini Pro models. Rather than a single model, it is a pipeline: policy models sample up to a million candidate solutions per problem, then filtering, behavioral clustering, and a learned scoring model narrow them to about ten final submissions.

On 77 problems across 12 recent Codeforces contests with over 8,000 participants, it solved 43% of problems within ten attempts, nearly double the original AlphaCode's 25%, which DeepMind estimated at the 85th percentile of human competitors, between Expert and Candidate Master rank. It was research-only, never shipped as a product or API, and its techniques fed directly into DeepMind's later Gemini and AlphaProof reasoning work.

Specs

Context window

Pricing

Free quota

API access

Weights

Closed — API only

Released

December 6, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

competitive-programmingcode-generationresearchalgorithms

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 78; Trending score 76/100 from researcher assessment.

Sources