Coding · 01.AI

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

Yi-Lightning Instruct scores 79.1 on HumanEval, placing it #264 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
79.1
0–100 scale
Rank
#264
of 600
Percentile
56th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
17.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Yi-Lightning Instruct 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 Instruct sits at #264 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 17.7 points. The median model in this index scores 77.4, which puts Yi-Lightning Instruct above the midpoint.

01.AI models average 69.1 on this benchmark. Yi-Lightning Instruct is 10.0 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 82.2. Yi-Lightning Instruct is 3.1 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 79.1 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 $4.16 per million input tokens, Yi-Lightning Instruct is above 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
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
Sonar Reasoning Perplexity 200000 $11.48 76.2
Fusion Max OpenRouter 65536 $9.14 72.5
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2
Sonar Pro Perplexity 65536 $11.25 77.1

Other benchmarks for Yi-Lightning Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.4 231 62th
GPQA Diamond 73.0 200 67th
SWE-bench Verified 65.3 209 65th
MATH-500 78.2 255 58th
AIME 2025 71.7 225 63th
LiveCodeBench 70.3 186 69th
IFEval 85.6 171 72th
TruthfulQA 81.5 143 76th
HellaSwag 85.9 221 63th
MMMU 72.1 241 60th
Arena Elo 1415.8 166 72th

FAQ

What score does Yi-Lightning Instruct get on HumanEval?

Yi-Lightning Instruct scores 79.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Yi-Lightning Instruct rank on HumanEval?

It ranks #264 of 600 models, in the 56th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Yi-Lightning Instruct 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 Instruct cost?

Yi-Lightning Instruct costs $4.16 per million input tokens and $22.74 per million output tokens.

Related