Coding · 01.AI

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

Yi-Large Instruct scores 77.1 on HumanEval, placing it #307 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
77.1
0–100 scale
Rank
#307
of 600
Percentile
49th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
19.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Yi-Large Instruct 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-Large Instruct sits at #307 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.7 points. The median model in this index scores 77.4, which puts Yi-Large Instruct below the midpoint.

01.AI models average 69.1 on this benchmark. Yi-Large Instruct is 8.0 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 82.2. Yi-Large Instruct is 5.1 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 77.1 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Grok 3 Mini xAI 200000 $9.67 73.9
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Yi-Large Instruct 01.AI 32768 $3.48 73.4
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Seed-OSS ByteDance 32768 $3.74 75.3

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
MATH-500 78.2 254 58th
AIME 2025 64.9 339 44th
LiveCodeBench 65.9 277 54th
IFEval 81.2 305 49th
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 HumanEval?

Yi-Large Instruct scores 77.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Yi-Large Instruct rank on HumanEval?

It ranks #307 of 600 models, in the 49th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Yi-Large Instruct 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-Large Instruct cost?

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

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