math benchmark
ArXivMath (with tools) Leaderboard
ArXivMath (with tools) measures final-answer accuracy using a code-execution sandbox with no internet.
Updated Oct 23, 2026
Models1
Model coverage1
MetricScore
EvidenceB
ArXivMath (with tools) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score95.20% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
ArXivMath (with tools) Highlights
The leading models and scores on this benchmark.
The Top AI Models for ArXivMath (with tools)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis arxivmath (with tools) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ANAnthropic
- Score
- 95.20%
- Price
- $2.0 input / $10 output per 1M tokens
- Speed
- Up to 42.00 tok/s via Anthropic
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures ArXivMath (with tools), not total model capability
Selection summary
Best AI Models for ArXivMath (with tools)
Claude Sonnet 5.5 currently leads ArXivMath (with tools) with 95.20%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is ArXivMath (with tools)?
What ArXivMath (with tools) measures and how its scores work.
ArXivMath (with tools) is a math benchmark with a code-execution sandbox and no internet, distinct from the without-tools setting.
It measures final-answer accuracy, reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ArXivMath (with tools)
- Modality
- text
- Primary category
- math
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ArXivMath (with tools).
Which model scores highest on ArXivMath (with tools)?
Claude Sonnet 5.5 is currently ranked first with 95.20%.
What are the top three models on ArXivMath (with tools)?
The current leaders are Claude Sonnet 5.5 (95.20%).
Which ArXivMath (with tools) model has the lowest official input price?
Claude Sonnet 5.5 has the lowest matched official input price at $2.0 input / $10 output per 1M tokens.
Which models are fastest among ArXivMath (with tools) results?
The fastest matched records are Claude Sonnet 5.5 (42.00 tok/s via Anthropic).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.