Reasoning · 01.AI

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

Yi-Large Instruct scores 70.0 on GPQA Diamond, placing it #265 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
70.0
0–100 scale
Rank
#265
of 600
Percentile
56th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
17.0
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Yi-Large Instruct sits at #265 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 17.0 points. The median model in this index scores 68.8, which puts Yi-Large Instruct above the midpoint.

01.AI models average 61.2 on this benchmark. Yi-Large Instruct is 8.8 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 73.5. Yi-Large Instruct is 3.5 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 70.0 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 $3.48 per million input tokens, Yi-Large Instruct is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Command R+ Chat Cohere 32768 $4.02 76.0
Llama 3 Lambda Base Lambda 8192 $3.19 72.9
Llama 3 Novita Novita AI 128000 $3.70 74.4
Mistral Small 3 Instruct Mistral AI 32768 $3.97 75.1
Yi-Large Instruct 01.AI 32768 $3.48 73.4
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9

Other benchmarks for Yi-Large Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.8 252 58th
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
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 GPQA Diamond?

Yi-Large Instruct scores 70.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Yi-Large Instruct rank on GPQA Diamond?

It ranks #265 of 600 models, in the 56th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Yi-Large Instruct good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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.

Related