Reasoning · Moonshot AI

Kimi K1.5 1.5B on GPQA Diamond: score, rank and what it means

Kimi K1.5 1.5B scores 47.1 on GPQA Diamond, placing it #547 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
47.1
0–100 scale
Rank
#547
of 600
Percentile
9th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
39.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Kimi K1.5 1.5B 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 1.5B sits at #547 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 39.9 points. The median model in this index scores 68.8, which puts Kimi K1.5 1.5B below the midpoint.

Moonshot AI models average 67.7 on this benchmark. Kimi K1.5 1.5B is 20.6 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 1.5B is 2.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 47.1 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 $0.75 per million input tokens, Kimi K1.5 1.5B 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
GLM-4.5 1.5B Zhipu AI 16384 $0.65 53.3
Mixtral Groq 7B Groq 4096 $0.70 53.4
QwQ 1.5B Alibaba Cloud 32768 $0.61 51.6
Phi-3.5 8B Microsoft 16384 $0.59 51.2
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Llama 3 Novita 1.5B Novita AI 4096 $0.41 49.1

Other benchmarks for Kimi K1.5 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 61.5 508 15th
SWE-bench Verified 38.6 533 11th
HumanEval 55.2 541 10th
MATH-500 53.4 532 11th
AIME 2025 41.8 531 12th
LiveCodeBench 41.3 531 12th
IFEval 66.0 518 14th
TruthfulQA 57.6 549 9th
HellaSwag 70.6 528 12th
MMMU 52.0 531 12th
Arena Elo 1225.8 531 12th

FAQ

What score does Kimi K1.5 1.5B get on GPQA Diamond?

Kimi K1.5 1.5B scores 47.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Kimi K1.5 1.5B rank on GPQA Diamond?

It ranks #547 of 600 models, in the 9th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Kimi K1.5 1.5B 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 1.5B cost?

Kimi K1.5 1.5B costs $0.75 per million input tokens and $3.70 per million output tokens.

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