Reasoning · Moonshot AI

Kimi K2 7B on GPQA Diamond: score, rank and what it means

Kimi K2 7B scores 57.0 on GPQA Diamond, placing it #440 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
57.0
0–100 scale
Rank
#440
of 600
Percentile
27th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
30.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Kimi K2 7B 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 7B sits at #440 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 30.0 points. The median model in this index scores 68.8, which puts Kimi K2 7B below the midpoint.

Moonshot AI models average 67.7 on this benchmark. Kimi K2 7B is 10.7 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 7B is 7.7 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 57.0 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 $1.72 per million input tokens, Kimi K2 7B 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
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Zephyr Base Hugging Face 4096 $1.26 59.5
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Nova Lite Nano Amazon 8192 $3.29 59.5
MiniMax-M2 8B MiniMax 32768 $1.65 61.7

Other benchmarks for Kimi K2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 431 28th
SWE-bench Verified 52.5 401 33th
HumanEval 67.5 416 31th
MATH-500 64.6 421 30th
AIME 2025 51.1 450 25th
LiveCodeBench 50.4 444 26th
IFEval 75.0 398 34th
TruthfulQA 67.9 414 31th
HellaSwag 78.1 400 33th
MMMU 59.2 437 27th
Arena Elo 1304.4 412 31th

FAQ

What score does Kimi K2 7B get on GPQA Diamond?

Kimi K2 7B scores 57.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Kimi K2 7B rank on GPQA Diamond?

It ranks #440 of 600 models, in the 27th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Kimi K2 7B 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 7B cost?

Kimi K2 7B costs $1.72 per million input tokens and $8.97 per million output tokens.

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