math benchmark
AMC_2022_23 Leaderboard
American Mathematics Competition problems from the 2022-23 academic year, consisting of multiple-choice mathematics competition problems designed for high school students. These problems require advanced mathematical reasoning, problem-solving strategies, and mathematical knowledge covering topics like algebra, geometry, number theory, and combinatorics. The benchmark is derived from the official AMC competitions sponsored by the Mathematical Association of America.
Updated Aug 17, 2026
Models6
Model coverage6
MetricScore
EvidenceB
AMC_2022_23 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score52.0% | Percentile100.0% | Participants6 | EvidenceC | Evaluated |
| Rank02 | ModelMA | Score52.0% | Percentile80.0% | Participants6 | EvidenceC | Evaluated |
| Rank03 | ModelMA | Score52.0% | Percentile60.0% | Participants6 | EvidenceC | Evaluated |
| Rank04 | ModelMA | Score52.0% | Percentile40.0% | Participants6 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score46.4% | Percentile20.0% | Participants6 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score34.8% | Percentile0.0% | Participants6 | EvidenceC | Evaluated |
AMC_2022_23 Highlights
The leading models and scores on this benchmark.
AMC_2022_23 Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for AMC_2022_23
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis amc_2022_23 AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MA
- Score
- 52.0%
- Price
- $0.50 input / $1.5 output per 1M tokens
- Speed
- Up to 0.78 tok/s via Mistral AI
Strengths
- Ranks #1 of 6 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures AMC_2022_23, not total model capability
- 02MAMistral Large 3 (675B Base)Mistral AI
- Score
- 52.0%
- Price
- $0.50 input / $1.5 output per 1M tokens
- Speed
- Up to 0.78 tok/s via Mistral AI
Strengths
- Ranks #2 of 6 compared models
- 80th percentile on this benchmark
- C evidence result
Considerations
- This result measures AMC_2022_23, not total model capability
- 03MA
- Score
- 52.0%
- Price
- $0.50 input / $1.5 output per 1M tokens
- Speed
- Up to 0.78 tok/s via Mistral AI
Strengths
- Ranks #3 of 6 compared models
- 60th percentile on this benchmark
- C evidence result
Considerations
- This result measures AMC_2022_23, not total model capability
- 04MAMistral Large 3 (675B Instruct 2512)Mistral AI
- Score
- 52.0%
- Price
- $0.50 input / $1.5 output per 1M tokens
- Speed
- Up to 0.78 tok/s via Mistral AI
Strengths
- Ranks #4 of 6 compared models
- 40th percentile on this benchmark
- C evidence result
Considerations
- This result measures AMC_2022_23, not total model capability
- 05GOGemini 1.5 ProGoogle
- Score
- 46.4%
- Speed
- Up to 85 tok/s via Google
Strengths
- Ranks #5 of 6 compared models
- 20th percentile on this benchmark
- C evidence result
Considerations
- This result measures AMC_2022_23, not total model capability
Selection summary
Best AI Models for AMC_2022_23
Mistral Large 3 (675B Instruct 2512 Eagle) currently leads AMC_2022_23 with 52.0%. 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.
Benchmark rank #1Mistral Large 3 (675B Instruct 2512 Eagle)52.0% · $0.50 input / $1.5 output per 1M tokensBenchmark rank #2Mistral Large 3 (675B Base)52.0% · $0.50 input / $1.5 output per 1M tokensBenchmark rank #3Mistral Large 3 (675B Instruct 2512 NVFP4)52.0% · $0.50 input / $1.5 output per 1M tokens
What is AMC_2022_23?
What AMC_2022_23 measures and how its scores work.
American Mathematics Competition problems from the 2022-23 academic year, consisting of multiple-choice mathematics competition problems designed for high school students. These problems require advanced mathematical reasoning, problem-solving strategies, and mathematical knowledge covering topics like algebra, geometry, number theory, and combinatorics. The benchmark is derived from the official AMC competitions sponsored by the Mathematical Association of America.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AMC_2022_23
- Modality
- text
- Primary category
- math
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- amc-2022-23|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about AMC_2022_23.
Which model scores highest on AMC_2022_23?
Mistral Large 3 (675B Instruct 2512 Eagle) is currently ranked first with 52.0%.
What does AMC_2022_23 measure?
American Mathematics Competition problems from the 2022-23 academic year, consisting of multiple-choice mathematics competition problems designed for high school students. These problems require advanced mathematical reasoning, problem-solving strategies, and mathematical knowledge covering topics like algebra, geometry, number theory, and combinatorics. The benchmark is derived from the official AMC competitions sponsored by the Mathematical Association of America.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
6 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.