Mathematics · Moonshot AI

Kimi K2 Instruct on AIME 2025: score, rank and what it means

Kimi K2 Instruct scores 77.3 on AIME 2025, placing it #124 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
77.3
0–100 scale
Rank
#124
of 600
Percentile
79th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
14.1
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Kimi K2 Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Kimi K2 Instruct sits at #124 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 14.1 points. The median model in this index scores 67.6, which puts Kimi K2 Instruct above the midpoint.

Moonshot AI models average 66.7 on this benchmark. Kimi K2 Instruct is 10.6 points above that provider line, so it is a stronger result than the average Moonshot AI model.

Among multimodal models, the average is 73.9. Kimi K2 Instruct is 3.4 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 77.3 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $5.80 per million input tokens, Kimi K2 Instruct is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-R1 Instruct DeepSeek 1000000 $5.90 83.1
Gemini 3 Pro Mini Google DeepMind 128000 $12.27 78.1
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Kimi K2 Instruct Moonshot AI 1000000 $5.80 82.3
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
Command A Max Cohere 400000 $14.28 79.9

Other benchmarks for Kimi K2 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.5 44 93th
GPQA Diamond 78.4 76 87th
SWE-bench Verified 75.1 40 93th
HumanEval 87.3 82 86th
MATH-500 88.0 67 89th
LiveCodeBench 74.1 108 82th
IFEval 87.5 116 81th
TruthfulQA 82.8 112 81th
HellaSwag 90.2 83 86th
MMMU 78.3 88 85th
Arena Elo 1458.6 55 91th

FAQ

What score does Kimi K2 Instruct get on AIME 2025?

Kimi K2 Instruct scores 77.3 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Kimi K2 Instruct rank on AIME 2025?

It ranks #124 of 600 models, in the 79th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Kimi K2 Instruct good at AIME 2025?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the AIME 2025 score calculated?

AIME 2025 is a mathematics benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Kimi K2 Instruct cost?

Kimi K2 Instruct costs $5.80 per million input tokens and $23.99 per million output tokens.

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