Commonsense · 01.AI

Yi-Lightning 7B on HellaSwag: score, rank and what it means

Yi-Lightning 7B scores 71.6 on HellaSwag, placing it #508 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
71.6
0–100 scale
Rank
#508
of 600
Percentile
15th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
24.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Yi-Lightning 7B 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 7B sits at #508 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 24.5 points. The median model in this index scores 83.6, which puts Yi-Lightning 7B below the midpoint.

01.AI models average 78.8 on this benchmark. Yi-Lightning 7B is 7.2 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 7B is 1.4 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 71.6 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 $1.00 per million input tokens, Yi-Lightning 7B 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
Mixtral Groq 7B Groq 4096 $0.70 53.4
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Mixtral Groq 8B Groq 32768 $0.77 54.8
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Mixtral 8B Mistral AI 8192 $0.91 55.4

Other benchmarks for Yi-Lightning 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.0 503 16th
GPQA Diamond 50.6 517 14th
SWE-bench Verified 39.7 526 12th
HumanEval 58.0 525 13th
MATH-500 60.0 466 22th
AIME 2025 41.5 534 11th
LiveCodeBench 45.8 490 18th
IFEval 65.7 526 12th
TruthfulQA 62.5 496 17th
MMMU 57.0 471 22th
Arena Elo 1261.9 472 21th

FAQ

What score does Yi-Lightning 7B get on HellaSwag?

Yi-Lightning 7B scores 71.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Yi-Lightning 7B rank on HellaSwag?

It ranks #508 of 600 models, in the 15th percentile. The leader is GPT-5.2 Max at 96.1.

Is Yi-Lightning 7B 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 7B cost?

Yi-Lightning 7B costs $1.00 per million input tokens and $3.69 per million output tokens.

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