Knowledge · 01.AI

Yi-Lightning Chat on MMLU-Pro: score, rank and what it means

Yi-Lightning Chat scores 77.3 on MMLU-Pro, placing it #270 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
77.3
0–100 scale
Rank
#270
of 600
Percentile
55th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
14.3
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Yi-Lightning Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Yi-Lightning Chat sits at #270 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 14.3 points. The median model in this index scores 76.1, which puts Yi-Lightning Chat above the midpoint.

01.AI models average 70.0 on this benchmark. Yi-Lightning Chat is 7.3 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 80.0. Yi-Lightning Chat is 2.7 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 77.3 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 $3.79 per million input tokens, Yi-Lightning Chat is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Auto Reasoning OpenRouter 65536 $8.39 71.5
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Mixtral Mistral AI 65536 $3.48 73.7
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Nova Lite Max Amazon 200000 $9.79 73.4

Other benchmarks for Yi-Lightning Chat

BenchmarkScoreRankPercentileRelative
GPQA Diamond 69.8 274 54th
SWE-bench Verified 62.6 266 56th
HumanEval 80.0 234 61th
MATH-500 81.3 184 69th
AIME 2025 69.4 270 55th
LiveCodeBench 67.5 239 60th
IFEval 83.5 234 61th
TruthfulQA 77.8 262 56th
HellaSwag 86.7 189 69th
MMMU 74.2 182 70th
Arena Elo 1378.6 279 54th

FAQ

What score does Yi-Lightning Chat get on MMLU-Pro?

Yi-Lightning Chat scores 77.3 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Yi-Lightning Chat rank on MMLU-Pro?

It ranks #270 of 600 models, in the 55th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Yi-Lightning Chat good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 Chat cost?

Yi-Lightning Chat costs $3.79 per million input tokens and $19.14 per million output tokens.

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