Reasoning · Moonshot AI

Kimi K2 Chat on GPQA Diamond: score, rank and what it means

Kimi K2 Chat scores 77.4 on GPQA Diamond, placing it #99 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
77.4
0–100 scale
Rank
#99
of 600
Percentile
84th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
9.6
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Kimi K2 Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Kimi K2 Chat sits at #99 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 9.6 points. The median model in this index scores 68.8, which puts Kimi K2 Chat above the midpoint.

Moonshot AI models average 67.7 on this benchmark. Kimi K2 Chat is 9.7 points above that provider line, so it is a stronger result than the average Moonshot AI model.

Among multimodal models, the average is 73.5. Kimi K2 Chat is 3.9 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 77.4 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 $5.74 per million input tokens, Kimi K2 Chat is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Turbo OpenAI 200000 $16.63 83.4
Gemini 3 Flash Turbo Google DeepMind 200000 $17.07 84.1
Kimi K2 Moonshot AI 128000 $5.85 83.0
Kimi K1.5 Instruct Moonshot AI 200000 $5.15 80.5
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1
Claude 3.7 Sonnet Vision Anthropic 400000 $13.96 81.0
Grok 3 Reasoning xAI 200000 $16.07 82.9

Other benchmarks for Kimi K2 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.7 110 82th
SWE-bench Verified 70.0 110 82th
HumanEval 88.1 71 88th
MATH-500 84.8 112 81th
AIME 2025 84.1 48 92th
LiveCodeBench 74.5 100 83th
IFEval 88.0 101 83th
TruthfulQA 82.8 111 82th
HellaSwag 91.6 46 92th
MMMU 79.6 64 89th
Arena Elo 1445.6 89 85th

FAQ

What score does Kimi K2 Chat get on GPQA Diamond?

Kimi K2 Chat scores 77.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Kimi K2 Chat rank on GPQA Diamond?

It ranks #99 of 600 models, in the 84th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Kimi K2 Chat good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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 Chat cost?

Kimi K2 Chat costs $5.74 per million input tokens and $22.24 per million output tokens.

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