Reasoning · 01.AI

Yi-Large 8B on GPQA Diamond: score, rank and what it means

Yi-Large 8B scores 52.3 on GPQA Diamond, placing it #499 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
52.3
0–100 scale
Rank
#499
of 600
Percentile
17th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
34.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Yi-Large 8B 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 8B sits at #499 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 34.7 points. The median model in this index scores 68.8, which puts Yi-Large 8B below the midpoint.

01.AI models average 61.2 on this benchmark. Yi-Large 8B is 8.9 points below that provider line, so it is a weaker result than the average 01.AI model.

Among small open-weight models, the average is 49.3. Yi-Large 8B is 3.0 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 52.3 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 $0.88 per million input tokens, Yi-Large 8B 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 Lambda 7B Lambda 8192 $0.84 55.4
Embed 4 Mini Cohere 4096 $2.48 55.8
Mistral Large 3 1.5B Mistral AI 32768 $0.82 55.4
Mixtral 8B Mistral AI 8192 $0.91 55.4
Yi-Large 8B 01.AI 32768 $0.88 56.1
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2

Other benchmarks for Yi-Large 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.0 529 12th
SWE-bench Verified 40.5 518 14th
HumanEval 61.3 481 20th
MATH-500 53.6 529 12th
AIME 2025 43.8 513 15th
LiveCodeBench 46.2 485 19th
IFEval 66.9 505 16th
TruthfulQA 63.7 479 20th
HellaSwag 73.6 465 23th
MMMU 55.0 498 17th
Arena Elo 1242.0 507 16th

FAQ

What score does Yi-Large 8B get on GPQA Diamond?

Yi-Large 8B scores 52.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Yi-Large 8B rank on GPQA Diamond?

It ranks #499 of 600 models, in the 17th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Yi-Large 8B 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 8B cost?

Yi-Large 8B costs $0.88 per million input tokens and $3.98 per million output tokens.

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