Coding · 01.AI

Yi-Lightning 8B on SWE-bench Verified: score, rank and what it means

Yi-Lightning 8B scores 44.6 on SWE-bench Verified, placing it #471 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
44.6
0–100 scale
Rank
#471
of 600
Percentile
22th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
37.1
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Yi-Lightning 8B 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 8B sits at #471 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 37.1 points. The median model in this index scores 61.0, which puts Yi-Lightning 8B below the midpoint.

01.AI models average 52.2 on this benchmark. Yi-Lightning 8B is 7.6 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 39.0. Yi-Lightning 8B is 5.6 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 44.6 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 $1.16 per million input tokens, Yi-Lightning 8B is below 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
Pythia EleutherAI 32768 $1.29 59.8
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
StableLM 2 Base Stability AI 8192 $1.49 61.9
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
DeepSeek-Coder 8B DeepSeek 32768 $1.26 58.7
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2

Other benchmarks for Yi-Lightning 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.3 449 25th
GPQA Diamond 55.2 461 23th
HumanEval 60.4 499 17th
MATH-500 60.2 460 23th
AIME 2025 51.3 446 26th
LiveCodeBench 46.6 482 20th
IFEval 68.9 479 20th
TruthfulQA 65.8 448 25th
HellaSwag 74.1 455 24th
MMMU 58.6 449 25th
Arena Elo 1257.5 478 20th

FAQ

What score does Yi-Lightning 8B get on SWE-bench Verified?

Yi-Lightning 8B scores 44.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Yi-Lightning 8B rank on SWE-bench Verified?

It ranks #471 of 600 models, in the 22nd percentile. The leader is GPT-5.2 Pro at 81.7.

Is Yi-Lightning 8B good at SWE-bench Verified?

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 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 8B cost?

Yi-Lightning 8B costs $1.16 per million input tokens and $5.13 per million output tokens.

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