Commonsense · 01.AI

Yi-Large 8B on HellaSwag: score, rank and what it means

Yi-Large 8B scores 73.6 on HellaSwag, placing it #465 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
73.6
0–100 scale
Rank
#465
of 600
Percentile
23th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
22.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Yi-Large 8B 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-Large 8B sits at #465 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 22.5 points. The median model in this index scores 83.6, which puts Yi-Large 8B below the midpoint.

01.AI models average 78.8 on this benchmark. Yi-Large 8B is 5.2 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-Large 8B is 3.4 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 73.6 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 $0.88 per million input tokens, Yi-Large 8B 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 3.1 Cerebras 7B Cerebras 32768 $0.95 56.5
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
SmolLM3 Base Hugging Face 16384 $1.38 60.4
Yi-Large 8B 01.AI 32768 $0.88 56.1
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Llama 3 Novita 8B Novita AI 16384 $0.99 55.5

Other benchmarks for Yi-Large 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.0 529 12th
GPQA Diamond 52.3 499 17th
SWE-bench Verified 40.5 518 14th
HumanEval 61.3 481 20th
MATH-500 53.6 529 12th
AIME 2025 43.8 513 15th
LiveCodeBench 46.2 485 19th
IFEval 66.9 505 16th
TruthfulQA 63.7 479 20th
MMMU 55.0 498 17th
Arena Elo 1242.0 507 16th

FAQ

What score does Yi-Large 8B get on HellaSwag?

Yi-Large 8B scores 73.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Yi-Large 8B rank on HellaSwag?

It ranks #465 of 600 models, in the 23rd percentile. The leader is GPT-5.2 Max at 96.1.

Is Yi-Large 8B 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-Large 8B cost?

Yi-Large 8B costs $0.88 per million input tokens and $3.98 per million output tokens.

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