Safety · Moonshot AI

Kimi K1.5 7B on TruthfulQA: score, rank and what it means

Kimi K1.5 7B scores 65.2 on TruthfulQA, placing it #457 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
65.2
0–100 scale
Rank
#457
of 600
Percentile
24th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
25.9
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Kimi K1.5 7B 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 K1.5 7B sits at #457 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 25.9 points. The median model in this index scores 76.3, which puts Kimi K1.5 7B below the midpoint.

Moonshot AI models average 75.2 on this benchmark. Kimi K1.5 7B is 10.0 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 59.9. Kimi K1.5 7B is 5.3 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 65.2 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 $1.35 per million input tokens, Kimi K1.5 7B is below 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
Firefunction Nano Fireworks AI 16384 $3.07 58.1
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Codestral 8B Mistral AI 4096 $1.18 59.0
Llama 3.1 Turbo 8B Together AI 32768 $1.16 58.8
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
Zephyr Base Hugging Face 4096 $1.26 59.5
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1

Other benchmarks for Kimi K1.5 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.3 437 27th
GPQA Diamond 56.0 449 25th
SWE-bench Verified 45.6 455 24th
HumanEval 62.3 466 22th
MATH-500 59.7 469 22th
AIME 2025 48.0 470 22th
LiveCodeBench 52.3 424 29th
IFEval 72.4 427 29th
HellaSwag 74.3 451 25th
MMMU 57.2 467 22th
Arena Elo 1269.9 459 24th

FAQ

What score does Kimi K1.5 7B get on TruthfulQA?

Kimi K1.5 7B scores 65.2 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Kimi K1.5 7B rank on TruthfulQA?

It ranks #457 of 600 models, in the 24th percentile. The leader is GPT-5.1 Max at 91.1.

Is Kimi K1.5 7B good at TruthfulQA?

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 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 K1.5 7B cost?

Kimi K1.5 7B costs $1.35 per million input tokens and $4.98 per million output tokens.

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