Reasoning · 01.AI

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

Yi-Large scores 70.7 on GPQA Diamond, placing it #242 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
70.7
0–100 scale
Rank
#242
of 600
Percentile
60th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
16.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Yi-Large 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 sits at #242 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 16.3 points. The median model in this index scores 68.8, which puts Yi-Large above the midpoint.

01.AI models average 61.2 on this benchmark. Yi-Large is 9.5 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 is 2.8 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 70.7 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 $3.40 per million input tokens, Yi-Large 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
Llama 3 Modal Modal 32768 $3.82 74.9
Yi-Lightning 01.AI 32768 $4.22 77.2
DeepSeek-Coder Base DeepSeek 32768 $3.53 74.1
Llama 3 Baseten Baseten 128000 $3.62 74.9
Yi-Large 01.AI 32768 $3.40 73.5
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9

Other benchmarks for Yi-Large

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.1 274 54th
SWE-bench Verified 63.7 241 60th
HumanEval 79.4 254 58th
MATH-500 76.2 295 51th
AIME 2025 66.2 327 46th
LiveCodeBench 62.7 338 44th
IFEval 81.2 304 49th
TruthfulQA 78.0 255 58th
HellaSwag 85.2 237 61th
MMMU 67.8 347 42th
Arena Elo 1389.1 253 58th

FAQ

What score does Yi-Large get on GPQA Diamond?

Yi-Large scores 70.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Yi-Large rank on GPQA Diamond?

It ranks #242 of 600 models, in the 60th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Yi-Large 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 cost?

Yi-Large costs $3.40 per million input tokens and $13.35 per million output tokens.

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