Artificial Analysis LiveCodeBench (AA LiveCodeBench)
We show this table for reference; we do not rank on it.
An independently evaluated LiveCodeBench result from Artificial Analysis.
Benchmark score on AA LiveCodeBench — September 27, 2026
We compile the AA LiveCodeBench rows from secondary reports. Gemini 3 Pro leads the table at 91.7%, followed by GLM-4.7 (89.4%). We do not use these results to rank models overall.
Gemini 3 Pro
GLM-4.7
Z.AI
2 modelsCodingCurrentDisplay onlyUpdated September 27, 2026
Benchmark score table (2 models)
ScoreAbout AA LiveCodeBench
Year
2026
Tasks
Contamination-resistant coding tasks
Format
Pass rate
Difficulty
Competitive programming
Stored separately from the core LiveCodeBench lane because Artificial Analysis controls the evaluation configuration.
Freshness and provenance
Version
AA LiveCodeBench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does AA LiveCodeBench measure?
An independently evaluated LiveCodeBench result from Artificial Analysis.
Which model scores highest on AA LiveCodeBench?
Gemini 3 Pro by Google currently leads with a score of 91.7% on AA LiveCodeBench.
How many models are evaluated on AA LiveCodeBench?
2 AI models have been evaluated on AA LiveCodeBench on BenchLM.
Compare top models on AA LiveCodeBench
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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