Safety · 01.AI

Yi-Lightning Base on TruthfulQA: score, rank and what it means

Yi-Lightning Base scores 77.9 on TruthfulQA, placing it #257 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
77.9
0–100 scale
Rank
#257
of 600
Percentile
57th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
13.2
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Yi-Lightning 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, Yi-Lightning Base sits at #257 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 13.2 points. The median model in this index scores 76.3, which puts Yi-Lightning Base above the midpoint.

01.AI models average 70.4 on this benchmark. Yi-Lightning Base is 7.5 points above that provider line, so it is a stronger result than the average 01.AI model.

Among open-weight models, the average is 72.3. Yi-Lightning Base is 5.6 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 77.9 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 $3.31 per million input tokens, Yi-Lightning Base 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
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Sonar Reasoning Perplexity 200000 $11.48 76.2
Yi-Large 01.AI 32768 $3.40 73.5
DBRX Databricks 65536 $3.29 73.3
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9
Nova Lite Pro Amazon 200000 $9.69 74.1

Other benchmarks for Yi-Lightning Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.5 227 62th
GPQA Diamond 65.7 348 42th
SWE-bench Verified 62.0 282 53th
HumanEval 77.5 299 50th
MATH-500 77.0 282 53th
AIME 2025 70.6 247 59th
LiveCodeBench 61.5 356 41th
IFEval 80.0 333 45th
HellaSwag 81.9 353 41th
MMMU 67.2 357 41th
Arena Elo 1369.2 321 47th

FAQ

What score does Yi-Lightning Base get on TruthfulQA?

Yi-Lightning Base scores 77.9 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Yi-Lightning Base rank on TruthfulQA?

It ranks #257 of 600 models, in the 57th percentile. The leader is GPT-5.1 Max at 91.1.

Is Yi-Lightning 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 Yi-Lightning Base cost?

Yi-Lightning Base costs $3.31 per million input tokens and $16.31 per million output tokens.

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