Mathematics · 01.AI

Yi-Large Instruct on AIME 2025: score, rank and what it means

Yi-Large Instruct scores 64.9 on AIME 2025, placing it #339 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
64.9
0–100 scale
Rank
#339
of 600
Percentile
44th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
26.5
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Yi-Large Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
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 AIME 2025, Yi-Large Instruct sits at #339 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 26.5 points. The median model in this index scores 67.6, which puts Yi-Large Instruct below the midpoint.

01.AI models average 56.6 on this benchmark. Yi-Large Instruct is 8.3 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 73.9. Yi-Large Instruct is 9.0 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 64.9 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Auto Pro OpenRouter 8192 $8.41 71.2
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Fusion Max OpenRouter 65536 $9.14 72.5
Llama 3 Modal Base Modal 16384 $3.21 72.2
Yi-Large Instruct 01.AI 32768 $3.48 73.4
Auto Turbo OpenRouter 65536 $7.96 70.9
Llama 3.1 Base Meta AI 32768 $3.39 72.2

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
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 AIME 2025?

Yi-Large Instruct scores 64.9 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Yi-Large Instruct rank on AIME 2025?

It ranks #339 of 600 models, in the 44th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Yi-Large Instruct good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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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