Safety · Moonshot AI

Kimi K2 Base on TruthfulQA: score, rank and what it means

Kimi K2 Base scores 83.2 on TruthfulQA, placing it #104 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
83.2
0–100 scale
Rank
#104
of 600
Percentile
83th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
7.9
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Kimi K2 Base highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Kimi K2 Base sits at #104 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 7.9 points. The median model in this index scores 76.3, which puts Kimi K2 Base above the midpoint.

Moonshot AI models average 75.2 on this benchmark. Kimi K2 Base is 8.0 points above that provider line, so it is a stronger result than the average Moonshot AI model.

Among multimodal models, the average is 80.1. Kimi K2 Base is 3.1 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 83.2 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 $4.82 per million input tokens, Kimi K2 Base is above the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Core Pro Reka AI 65536 $13.44 79.9
Command A Pro Cohere 200000 $14.28 81.3
Nova Pro Amazon 32768 $12.75 79.4
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5
ERNIE 4.5 Baidu 65536 $13.44 80.0

Other benchmarks for Kimi K2 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.8 126 79th
GPQA Diamond 76.1 120 80th
SWE-bench Verified 70.2 106 82th
HumanEval 84.9 121 80th
MATH-500 80.8 194 68th
AIME 2025 75.3 149 75th
LiveCodeBench 69.9 192 68th
IFEval 86.8 139 77th
HellaSwag 88.5 124 79th
MMMU 73.5 204 66th
Arena Elo 1432.3 116 81th

FAQ

What score does Kimi K2 Base get on TruthfulQA?

Kimi K2 Base scores 83.2 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Kimi K2 Base rank on TruthfulQA?

It ranks #104 of 600 models, in the 83rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Kimi K2 Base good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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 Base cost?

Kimi K2 Base costs $4.82 per million input tokens and $16.90 per million output tokens.

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