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math benchmark

CNMO 2024 Leaderboard

CNMO 2024 is the China Mathematical Olympiad 2024, a challenging mathematics competition.

Updated Sep 5, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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  • Ranking
  • Highlights
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  • FAQ

CNMO 2024 Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2 InstructMoonshot AIScore74.30%Percentile100.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank02ModelMAKimi K2-Instruct-0905Moonshot AIScore74.30%Percentile50.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank03ModelDEDeepSeek-V3DeepSeekScore43.20%Percentile0.00%Participants3EvidenceCEvaluatedSep 8, 2026

CNMO 2024 Highlights

The leading models and scores on this benchmark.

CNMO 2024 Score Distribution

A closer view of the leading scores on this benchmark.

CNMO 2024

The Top AI Models for CNMO 2024

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is CNMO 2024?

What CNMO 2024 measures and how its scores work.

CNMO 2024 is the China Mathematical Olympiad 2024 benchmark.

It measures performance using the Score metric, reported as a ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
CNMO 2024
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 CNMO 2024.

Which model scores highest on CNMO 2024?

Kimi K2 Instruct is currently ranked first with 74.30%.

What are the top three models on CNMO 2024?

The current leaders are Kimi K2 Instruct (74.30%), Kimi K2-Instruct-0905 (74.30%), and DeepSeek-V3 (43.20%).

Which CNMO 2024 model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among CNMO 2024 results?

The fastest matched records are DeepSeek-V3 (100.00 tok/s via DeepSeek).

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 CNMO 2024 measure?

It measures performance using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 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 #1Kimi K2 Instruct74.30%
Rank #2Kimi K2-Instruct-090574.30%
Rank #3DeepSeek-V343.20%

Ranking basisThis cnmo 2024 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
    Kimi K2 InstructMoonshot AI
    Score
    74.30%

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CNMO 2024, not total model capability
  2. 02
    MA
    Kimi K2-Instruct-0905Moonshot AI
    Score
    74.30%

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CNMO 2024, not total model capability
  3. 03
    DE
    DeepSeek
    Score
    43.20%
    Speed
    Up to 100.00 tok/s via DeepSeek

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CNMO 2024, not total model capability

Selection summary

Best AI Models for CNMO 2024

Kimi K2 Instruct currently leads CNMO 2024 with 74.30%. 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.

DeepSeek-V3
Benchmark rank #1Kimi K2 Instruct74.30%
Benchmark rank #2Kimi K2-Instruct-090574.30%
Benchmark rank #3DeepSeek-V343.20% · Up to 100.00 tok/s via DeepSeek