Vals AIME (AIME)
Challenging national math exam given to top high-school students
Data verifiedHow BenchLM shows AIME
BenchLM mirrors the public Vals AI AIME leaderboard captured from https://www.vals.ai/benchmarks/aime and updated by Vals on April 16, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
AIME is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
AIME score on AIME — April 16, 2026
BenchLM mirrors the published aime score view for AIME. Gemini 3.1 Pro Preview leads the public snapshot at 98.13% , followed by GPT-5.2 (96.88%) and Muse Spark (96.88%). BenchLM does not use these results to rank models overall.
Gemini 3.1 Pro Preview
google/gemini-3.1-pro-preview
GPT-5.2
OpenAI
openai/gpt-5.2-2025-12-11
Muse Spark
Meta
meta/muse_spark
The published AIME snapshot is tightly clustered at the top: Gemini 3.1 Pro Preview sits at 98.13%, while the third row is only 1.25 points behind. The broader top-10 spread is 2.50 points, so many of the published scores sit in a relatively narrow band.
96 models have been evaluated on AIME. The benchmark falls in the External benchmark mirrors category. BenchLM tracks this category separately from its weighted global scoring system, so these results are best compared on the dedicated Korean benchmark views. AIME is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About AIME
Year
2026
Tasks
AIME math problems
Format
Accuracy score
Difficulty
Competition math
BenchLM mirrors the public Vals AI AIME leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
AIME 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.
AIME score table (96 models)
FAQ
What does AIME measure?
Challenging national math exam given to top high-school students
Which model leads the published AIME snapshot?
Gemini 3.1 Pro Preview currently leads the published AIME snapshot with 98.13% aime score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on AIME?
96 AI models are included in BenchLM's mirrored AIME snapshot, based on the public leaderboard captured on April 16, 2026.
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