Instruction following · 01.AI

Yi-Lightning Base on IFEval: score, rank and what it means

Yi-Lightning Base scores 80.0 on IFEval, placing it #333 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
80.0
0–100 scale
Rank
#333
of 600
Percentile
45th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
16.1
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Yi-Lightning Base sits at #333 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 16.1 points. The median model in this index scores 81.2, which puts Yi-Lightning Base below the midpoint.

01.AI models average 74.9 on this benchmark. Yi-Lightning Base is 5.1 points above that provider line, so it is a stronger result than the average 01.AI model.

Among open-weight models, the average is 77.0. Yi-Lightning Base is 3.0 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 80.0 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 $3.31 per million input tokens, Yi-Lightning Base is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Firesearch Pro Fireworks AI 32768 $7.67 70.4
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Gemini 2.5 Pro Nano Google DeepMind 32768 $7.28 69.2
Firefunction Turbo Fireworks AI 32768 $8.44 70.7

Other benchmarks for Yi-Lightning Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.5 227 62th
GPQA Diamond 65.7 348 42th
SWE-bench Verified 62.0 282 53th
HumanEval 77.5 299 50th
MATH-500 77.0 282 53th
AIME 2025 70.6 247 59th
LiveCodeBench 61.5 356 41th
TruthfulQA 77.9 257 57th
HellaSwag 81.9 353 41th
MMMU 67.2 357 41th
Arena Elo 1369.2 321 47th

FAQ

What score does Yi-Lightning Base get on IFEval?

Yi-Lightning Base scores 80.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Yi-Lightning Base rank on IFEval?

It ranks #333 of 600 models, in the 45th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Yi-Lightning Base good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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 Base cost?

Yi-Lightning Base costs $3.31 per million input tokens and $16.31 per million output tokens.

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