Coding · 01.AI

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

Yi-Lightning Base scores 77.5 on HumanEval, placing it #299 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
77.5
0–100 scale
Rank
#299
of 600
Percentile
50th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
19.3
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Yi-Lightning Base sits at #299 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.3 points. The median model in this index scores 77.4, which puts Yi-Lightning Base above the midpoint.

01.AI models average 69.1 on this benchmark. Yi-Lightning Base is 8.4 points above that provider line, so it is a stronger result than the average 01.AI model.

Among open-weight models, the average is 72.4. Yi-Lightning Base is 5.1 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 77.5 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Turbo Together AI 65536 $3.20 72.4
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Gemma 3 Base Google DeepMind 65536 $3.09 71.1
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Llama 3 Novita Novita AI 128000 $3.70 74.4
Sonar Pro Mini Perplexity 8192 $8.02 70.3

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
MATH-500 77.0 282 53th
AIME 2025 70.6 247 59th
LiveCodeBench 61.5 356 41th
IFEval 80.0 333 45th
TruthfulQA 77.9 257 57th
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 HumanEval?

Yi-Lightning Base scores 77.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Yi-Lightning Base rank on HumanEval?

It ranks #299 of 600 models, in the 50th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Yi-Lightning Base good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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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