Coding · 01.AI

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

Yi-Lightning 7B scores 58.0 on HumanEval, placing it #525 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
58.0
0–100 scale
Rank
#525
of 600
Percentile
13th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
38.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Yi-Lightning 7B 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 7B sits at #525 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 38.8 points. The median model in this index scores 77.4, which puts Yi-Lightning 7B below the midpoint.

01.AI models average 69.1 on this benchmark. Yi-Lightning 7B is 11.1 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 56.7. Yi-Lightning 7B is 1.3 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 58.0 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 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 Anyscale 7B Anyscale 4096 $0.98 56.2
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Magistral 1.5B Mistral AI 4096 $0.67 52.7
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7

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
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
HellaSwag 71.6 508 15th
MMMU 57.0 471 22th
Arena Elo 1261.9 472 21th

FAQ

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

Yi-Lightning 7B scores 58.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Yi-Lightning 7B rank on HumanEval?

It ranks #525 of 600 models, in the 13th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Yi-Lightning 7B good at HumanEval?

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 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 7B cost?

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

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