Preference · 01.AI

Yi-Large Base on Arena Elo: score, rank and what it means

Yi-Large Base scores 1353.7 on Arena Elo, placing it #357 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1353.7
0–100 scale
Rank
#357
of 600
Percentile
41th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
148.2
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Yi-Large Base highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Yi-Large Base sits at #357 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 148.2 points. The median model in this index scores 1373.8, which puts Yi-Large Base below the midpoint.

01.AI models average 1317.5 on this benchmark. Yi-Large Base is 36.2 points above that provider line, so it is a stronger result than the average 01.AI model.

Among open-weight models, the average is 1338.0. Yi-Large Base is 15.7 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 1353.7 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 $2.78 per million input tokens, Yi-Large Base is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Auto Pro OpenRouter 8192 $8.41 71.2
Mixtral Turbo Base Together AI 32768 $2.53 69.7
o3 Nano OpenAI 32768 $7.78 70.6
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Yi-Large Base 01.AI 16384 $2.78 70.3
Firesearch Fireworks AI 32768 $7.03 68.5
DBRX Base Databricks 32768 $2.63 69.1

Other benchmarks for Yi-Large Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.4 322 46th
GPQA Diamond 68.0 312 48th
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

FAQ

What score does Yi-Large Base get on Arena Elo?

Yi-Large Base scores 1353.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Yi-Large Base rank on Arena Elo?

It ranks #357 of 600 models, in the 41st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Yi-Large Base good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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