Reasoning · 01.AI

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

Yi-Lightning Base scores 65.7 on GPQA Diamond, placing it #348 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
65.7
0–100 scale
Rank
#348
of 600
Percentile
42th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
21.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Yi-Lightning 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-Lightning Base sits at #348 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 21.3 points. The median model in this index scores 68.8, which puts Yi-Lightning Base below the midpoint.

01.AI models average 61.2 on this benchmark. Yi-Lightning Base is 4.5 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-Lightning Base is 2.1 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 65.7 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 $3.31 per million input tokens, Yi-Lightning 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
Auto Reasoning OpenRouter 65536 $8.39 71.5
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Reka Core Mini Reka AI 8192 $7.48 70.1
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Arctic Chat Snowflake 16384 $2.70 69.8
Llama 3.1 Turbo Base Together AI 16384 $3.30 73.0

Other benchmarks for Yi-Lightning Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.5 227 62th
SWE-bench Verified 62.0 282 53th
HumanEval 77.5 299 50th
MATH-500 77.0 282 53th
AIME 2025 70.6 247 59th
LiveCodeBench 61.5 356 41th
IFEval 80.0 333 45th
TruthfulQA 77.9 257 57th
HellaSwag 81.9 353 41th
MMMU 67.2 357 41th
Arena Elo 1369.2 321 47th

FAQ

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

Yi-Lightning Base scores 65.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Yi-Lightning Base rank on GPQA Diamond?

It ranks #348 of 600 models, in the 42nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Yi-Lightning 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-Lightning Base cost?

Yi-Lightning Base costs $3.31 per million input tokens and $16.31 per million output tokens.

Related