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math benchmark

AMC_2022_23 Leaderboard

AMC_2022_23 is a benchmark based on American Mathematics Competition problems from the 2022-23 academic year for high school students.

Updated Sep 5, 2026

Models6
Model coverage6
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

AMC_2022_23 Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAMistral Large 3 (675B Base)Mistral AIScore52.00%Percentile100.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank02ModelMAMistral Large 3 (675B Instruct 2512 Eagle)Mistral AIScore52.00%Percentile80.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank03ModelMAMistral Large 3 (675B Instruct 2512 NVFP4)Mistral AIScore52.00%Percentile60.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank04ModelMAMistral Large 3 (675B Instruct 2512)Mistral AIScore52.00%Percentile40.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemini 1.5 ProGoogleScore46.40%Percentile20.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank06ModelGOGemini 1.5 FlashGoogleScore34.80%Percentile0.00%Participants6EvidenceCEvaluatedSep 8, 2026

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.

AMC_2022_23

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.

What is AMC_2022_23?

What AMC_2022_23 measures and how its scores work.

It consists of multiple-choice mathematics competition problems from official AMC competitions sponsored by the Mathematical Association of America, covering algebra, geometry, number theory, and combinatorics.

It measures Score, reported as a ratio.

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
No
Evaluation key
overall

LLM Stats. 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 Base) is currently ranked first with 52.00%.

What are the top three models on AMC_2022_23?

The current leaders are Mistral Large 3 (675B Base) (52.00%), Mistral Large 3 (675B Instruct 2512 Eagle) (52.00%), and Mistral Large 3 (675B Instruct 2512 NVFP4) (52.00%).

Which AMC_2022_23 model has the lowest official input price?

Mistral Large 3 (675B Base) has the lowest matched official input price at $0.50 input / $1.5 output per 1M tokens.

Which models are fastest among AMC_2022_23 results?

The fastest matched records are Gemini 1.5 Flash (150.00 tok/s via Google), Gemini 1.5 Pro (85.00 tok/s via Google), and Mistral Large 3 (675B Base) (56.78 tok/s via Mistral AI).

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.

What does AMC_2022_23 measure?

It measures Score, reported as a ratio.

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?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Mistral Large 3 (675B Base)52.00%
Rank #2Mistral Large 3 (675B Instruct 2512 Eagle)52.00%
Rank #3Mistral Large 3 (675B Instruct 2512 NVFP4)52.00%
Rank #4Mistral Large 3 (675B Instruct 2512)52.00%

Ranking basisThis amc_2022_23 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MA
    Mistral Large 3 (675B Base)Mistral AI
    Score
    52.00%
    Price
    $0.50 input / $1.5 output per 1M tokens
    Speed
    Up to 56.78 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
  2. 02
    MA
    Mistral Large 3 (675B Instruct 2512 Eagle)Mistral AI
    Score
    52.00%
    Price
    $0.50 input / $1.5 output per 1M tokens
    Speed
    Up to 56.78 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
  3. 03
    MA
    Mistral AI
    Score
    52.00%
    Price
    $0.50 input / $1.5 output per 1M tokens
    Speed
    Up to 56.78 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
  4. 04
    MA
    Mistral AI
    Score
    52.00%
    Price
    $0.50 input / $1.5 output per 1M tokens
    Speed
    Up to 56.78 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
  5. 05
    GO
    Google
    Score
    46.40%
    Speed
    Up to 85.00 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 Base) currently leads AMC_2022_23 with 52.00%. 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.

Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral Large 3 (675B Instruct 2512)
Gemini 1.5 Pro
Benchmark rank #1Mistral Large 3 (675B Base)52.00% · $0.50 input / $1.5 output per 1M tokens
Benchmark rank #2Mistral Large 3 (675B Instruct 2512 Eagle)52.00% · $0.50 input / $1.5 output per 1M tokens
Benchmark rank #3Mistral Large 3 (675B Instruct 2512 NVFP4)52.00% · $0.50 input / $1.5 output per 1M tokens