Reasoning · Moonshot AI

Kimi K1.5 8B on GPQA Diamond: score, rank and what it means

Kimi K1.5 8B scores 59.2 on GPQA Diamond, placing it #413 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
59.2
0–100 scale
Rank
#413
of 600
Percentile
31th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
27.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Kimi K1.5 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 K1.5 8B sits at #413 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 27.8 points. The median model in this index scores 68.8, which puts Kimi K1.5 8B below the midpoint.

Moonshot AI models average 67.7 on this benchmark. Kimi K1.5 8B is 8.5 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 K1.5 8B is 9.9 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 59.2 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 $1.54 per million input tokens, Kimi K1.5 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
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
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Embed 4 Max Cohere 8192 $5.68 66.1

Other benchmarks for Kimi K1.5 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.1 415 31th
SWE-bench Verified 45.6 456 24th
HumanEval 66.1 429 29th
MATH-500 62.1 443 26th
AIME 2025 54.4 417 31th
LiveCodeBench 52.1 428 29th
IFEval 72.6 422 30th
TruthfulQA 66.9 431 28th
HellaSwag 76.2 424 29th
MMMU 61.0 420 30th
Arena Elo 1300.8 420 30th

FAQ

What score does Kimi K1.5 8B get on GPQA Diamond?

Kimi K1.5 8B scores 59.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Kimi K1.5 8B rank on GPQA Diamond?

It ranks #413 of 600 models, in the 31st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Kimi K1.5 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 K1.5 8B cost?

Kimi K1.5 8B costs $1.54 per million input tokens and $5.98 per million output tokens.

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