Coding · 01.AI

Yi-Lightning on SWE-bench Verified: score, rank and what it means

Yi-Lightning scores 65.7 on SWE-bench Verified, placing it #200 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
65.7
0–100 scale
Rank
#200
of 600
Percentile
67th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
16.0
points

Score distribution

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

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Yi-Lightning sits at #200 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 16.0 points. The median model in this index scores 61.0, which puts Yi-Lightning above the midpoint.

01.AI models average 52.2 on this benchmark. Yi-Lightning is 13.5 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 66.4. Yi-Lightning is 0.7 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 65.7 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 $4.22 per million input tokens, Yi-Lightning is above the median input price of $4.00 across the 600 models scored on SWE-bench Verified. 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 Cerebras Instruct Cerebras 65536 $4.11 76.1
MiniMax-Text Chat MiniMax 128000 $4.26 77.8
Sonar Perplexity 200000 $10.57 76.0
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Yi-Lightning 01.AI 32768 $4.22 77.2
Magistral Base Mistral AI 65536 $3.86 75.6
Mistral Small 3 Mistral AI 32768 $3.90 75.3

Other benchmarks for Yi-Lightning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.2 144 76th
GPQA Diamond 71.0 239 60th
HumanEval 81.4 203 66th
MATH-500 80.1 205 66th
AIME 2025 70.6 246 59th
LiveCodeBench 71.6 159 74th
IFEval 85.8 166 72th
TruthfulQA 77.8 261 57th
HellaSwag 87.5 160 73th
MMMU 76.1 138 77th
Arena Elo 1396.4 221 63th

FAQ

What score does Yi-Lightning get on SWE-bench Verified?

Yi-Lightning scores 65.7 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Yi-Lightning rank on SWE-bench Verified?

It ranks #200 of 600 models, in the 67th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Yi-Lightning good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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 cost?

Yi-Lightning costs $4.22 per million input tokens and $23.07 per million output tokens.

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