Instruction following · 01.AI

Yi-Large Instruct on IFEval: score, rank and what it means

Yi-Large Instruct scores 81.2 on IFEval, placing it #305 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
81.2
0–100 scale
Rank
#305
of 600
Percentile
49th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Yi-Large Instruct 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-Large Instruct sits at #305 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.9 points. The median model in this index scores 81.2, which puts Yi-Large Instruct above the midpoint.

01.AI models average 74.9 on this benchmark. Yi-Large Instruct is 6.3 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 85.2. Yi-Large Instruct is 4.0 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 81.2 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 $3.48 per million input tokens, Yi-Large Instruct 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
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
Phi-4 Base Microsoft 32768 $3.15 71.2
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Yi-Large 01.AI 32768 $3.40 73.5
Yi-Large Instruct 01.AI 32768 $3.48 73.4
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Fusion OpenRouter 16384 $8.41 71.1

Other benchmarks for Yi-Large Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.8 252 58th
GPQA Diamond 70.0 265 56th
SWE-bench Verified 60.4 320 47th
HumanEval 77.1 307 49th
MATH-500 78.2 254 58th
AIME 2025 64.9 339 44th
LiveCodeBench 65.9 277 54th
TruthfulQA 74.5 342 43th
HellaSwag 84.3 269 55th
MMMU 73.2 214 64th
Arena Elo 1390.6 248 59th

FAQ

What score does Yi-Large Instruct get on IFEval?

Yi-Large Instruct scores 81.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Yi-Large Instruct rank on IFEval?

It ranks #305 of 600 models, in the 49th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Yi-Large Instruct good at IFEval?

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 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-Large Instruct cost?

Yi-Large Instruct costs $3.48 per million input tokens and $13.46 per million output tokens.

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