Commonsense · 01.AI

Yi-Lightning 1.5B on HellaSwag: score, rank and what it means

Yi-Lightning 1.5B scores 69.7 on HellaSwag, placing it #539 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
69.7
0–100 scale
Rank
#539
of 600
Percentile
10th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
26.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Yi-Lightning 1.5B highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Yi-Lightning 1.5B sits at #539 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 26.4 points. The median model in this index scores 83.6, which puts Yi-Lightning 1.5B below the midpoint.

01.AI models average 78.8 on this benchmark. Yi-Lightning 1.5B is 9.1 points below that provider line, so it is a weaker result than the average 01.AI model.

Among small open-weight models, the average is 70.2. Yi-Lightning 1.5B is 0.5 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 69.7 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 $0.54 per million input tokens, Yi-Lightning 1.5B is below the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Replicate 7B Replicate 32768 $0.91 56.0
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Embed 4 Nano Cohere 8192 $1.48 49.7
Yi-Large 7B 01.AI 4096 $0.83 55.0
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7
QwQ 1.5B Alibaba Cloud 32768 $0.61 51.6

Other benchmarks for Yi-Lightning 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.2 549 9th
GPQA Diamond 48.1 538 10th
SWE-bench Verified 35.8 547 9th
HumanEval 51.0 567 6th
MATH-500 49.2 561 7th
AIME 2025 35.0 570 5th
LiveCodeBench 35.8 566 6th
IFEval 62.0 554 8th
TruthfulQA 56.6 560 7th
MMMU 48.4 560 7th
Arena Elo 1209.1 544 9th

FAQ

What score does Yi-Lightning 1.5B get on HellaSwag?

Yi-Lightning 1.5B scores 69.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Yi-Lightning 1.5B rank on HellaSwag?

It ranks #539 of 600 models, in the 10th percentile. The leader is GPT-5.2 Max at 96.1.

Is Yi-Lightning 1.5B good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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 1.5B cost?

Yi-Lightning 1.5B costs $0.54 per million input tokens and $2.52 per million output tokens.

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