Coding · 01.AI

Yi-Lightning 1.5B on HumanEval: score, rank and what it means

Yi-Lightning 1.5B scores 51.0 on HumanEval, placing it #567 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
51.0
0–100 scale
Rank
#567
of 600
Percentile
6th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
45.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Yi-Lightning 1.5B 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 1.5B sits at #567 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 45.8 points. The median model in this index scores 77.4, which puts Yi-Lightning 1.5B below the midpoint.

01.AI models average 69.1 on this benchmark. Yi-Lightning 1.5B is 18.1 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 1.5B is 5.7 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 51.0 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 $0.54 per million input tokens, Yi-Lightning 1.5B 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
Arctic 7B Snowflake 8192 $0.49 50.3
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Nemotron Nano 8B NVIDIA 8192 $0.46 48.1
Mixtral 1.5B Mistral AI 16384 $0.36 47.7
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0
Mistral Small 3 1.5B Mistral AI 32768 $0.42 49.2
Phi-4 1.5B Microsoft 8192 $0.42 48.1

Other benchmarks for Yi-Lightning 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.2 549 9th
GPQA Diamond 48.1 538 10th
SWE-bench Verified 35.8 547 9th
MATH-500 49.2 561 7th
AIME 2025 35.0 570 5th
LiveCodeBench 35.8 566 6th
IFEval 62.0 554 8th
TruthfulQA 56.6 560 7th
HellaSwag 69.7 539 10th
MMMU 48.4 560 7th
Arena Elo 1209.1 544 9th

FAQ

What score does Yi-Lightning 1.5B get on HumanEval?

Yi-Lightning 1.5B scores 51.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Yi-Lightning 1.5B rank on HumanEval?

It ranks #567 of 600 models, in the 6th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Yi-Lightning 1.5B 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 1.5B cost?

Yi-Lightning 1.5B costs $0.54 per million input tokens and $2.52 per million output tokens.

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