Vals MGSM (MGSM)
We show this table for reference; we do not rank on it.
A multilingual benchmark for mathematical questions.
MGSM score on MGSM — January 9, 2026
We mirror the published mgsm score view for MGSM. Claude Opus 4.5 Thinking leads the public snapshot at 95.20%, followed by Claude Opus 4.5 (94.76%) and Claude Opus 4.1 20250805 Thinking (94.44%). We do not use these results to rank models overall.
Claude Opus 4.5 Thinking
Anthropic
Claude Opus 4.5
Anthropic
Claude Opus 4.1 20250805 Thinking
Anthropic
75 modelsMathematicsCurrentDisplay onlyUpdated January 9, 2026
MGSM score table (75 models)
ScoreHow MGSM is shown here
BenchLM mirrors the public Vals AI MGSM leaderboard captured from https://www.vals.ai/benchmarks/mgsm and updated by Vals on January 9, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
MGSM 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.
Snapshot
The published MGSM snapshot places Claude Opus 4.5 Thinking first at 95.20%. The third row is 0.76 points behind. The broader top-10 range is 1.89 points, so many of the published results sit in a relatively narrow band.
75 models have been evaluated on MGSM. The benchmark falls in the Mathematics category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. MGSM is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About MGSM
Year
2026
Tasks
Multilingual grade-school math questions
Format
Accuracy score
Difficulty
Multilingual mathematical reasoning
BenchLM mirrors the public Vals AI MGSM 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.
Freshness and provenance
Version
MGSM 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 MGSM measure?
A multilingual benchmark for mathematical questions.
Which model leads the published MGSM snapshot?
Claude Opus 4.5 Thinking currently leads the published MGSM snapshot with 95.20% mgsm score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on MGSM?
The January 9, 2026 snapshot contains 75 AI models.
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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