Reasoning · 01.AI

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

Yi-Large Base scores 68.0 on GPQA Diamond, placing it #312 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
68.0
0–100 scale
Rank
#312
of 600
Percentile
48th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
19.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Yi-Large Base 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 Base sits at #312 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 19.0 points. The median model in this index scores 68.8, which puts Yi-Large Base below the midpoint.

01.AI models average 61.2 on this benchmark. Yi-Large Base is 6.8 points above that provider line, so it is a stronger result than the average 01.AI model.

Among open-weight models, the average is 63.6. Yi-Large Base is 4.4 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 68.0 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 $2.78 per million input tokens, Yi-Large Base 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 3.1 Base Meta AI 32768 $3.39 72.2
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Seed-OSS Base ByteDance 16384 $3.14 72.2
Yi-Large Base 01.AI 16384 $2.78 70.3
DBRX Chat Databricks 65536 $3.07 71.7
Llama 3 Novita Base Novita AI 8192 $3.06 70.3

Other benchmarks for Yi-Large Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.4 322 46th
SWE-bench Verified 56.8 370 38th
HumanEval 73.3 369 39th
MATH-500 71.2 378 37th
AIME 2025 60.4 386 36th
LiveCodeBench 60.6 361 40th
IFEval 80.4 327 46th
TruthfulQA 75.9 311 48th
HellaSwag 83.0 322 46th
MMMU 68.6 333 45th
Arena Elo 1353.7 357 41th

FAQ

What score does Yi-Large Base get on GPQA Diamond?

Yi-Large Base scores 68.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Yi-Large Base rank on GPQA Diamond?

It ranks #312 of 600 models, in the 48th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Yi-Large Base good at GPQA Diamond?

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 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 Base cost?

Yi-Large Base costs $2.78 per million input tokens and $10.84 per million output tokens.

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