Reasoning · Moonshot AI

Kimi K2 8B on GPQA Diamond: score, rank and what it means

Kimi K2 8B scores 59.3 on GPQA Diamond, placing it #411 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
59.3
0–100 scale
Rank
#411
of 600
Percentile
32th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
27.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Kimi K2 8B 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 8B sits at #411 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 27.7 points. The median model in this index scores 68.8, which puts Kimi K2 8B below the midpoint.

Moonshot AI models average 67.7 on this benchmark. Kimi K2 8B is 8.4 points below that provider line, so it is a weaker result than the average Moonshot AI model.

Among small open-weight models, the average is 49.3. Kimi K2 8B is 10.0 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 59.3 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 $1.86 per million input tokens, Kimi K2 8B is below 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
Reka Core Nano Reka AI 16384 $5.45 65.1
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Fusion Mini OpenRouter 4096 $4.89 63.3
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1
Kimi K2 8B Moonshot AI 8192 $1.86 64.7
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2

Other benchmarks for Kimi K2 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.3 427 29th
SWE-bench Verified 50.9 414 31th
HumanEval 69.9 395 34th
MATH-500 68.7 392 35th
AIME 2025 55.4 414 31th
LiveCodeBench 55.0 406 32th
IFEval 75.4 394 34th
TruthfulQA 69.4 404 33th
HellaSwag 78.6 398 34th
MMMU 62.2 406 32th
Arena Elo 1311.4 406 32th

FAQ

What score does Kimi K2 8B get on GPQA Diamond?

Kimi K2 8B scores 59.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Kimi K2 8B rank on GPQA Diamond?

It ranks #411 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Kimi K2 8B good at GPQA Diamond?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 8B cost?

Kimi K2 8B costs $1.86 per million input tokens and $10.03 per million output tokens.

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