Preference · 01.AI

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

Yi-Large Chat scores 1386.2 on Arena Elo, placing it #262 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
1386.2
0–100 scale
Rank
#262
of 600
Percentile
56th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
115.7
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Yi-Large Chat 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 Chat sits at #262 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 115.7 points. The median model in this index scores 1373.8, which puts Yi-Large Chat above the midpoint.

01.AI models average 1317.5 on this benchmark. Yi-Large Chat is 68.7 points above that provider line, so it is a stronger result than the average 01.AI model.

Among multimodal models, the average is 1409.6. Yi-Large Chat is 23.4 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 1386.2 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 $3.49 per million input tokens, Yi-Large Chat 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
Sonar Turbo Perplexity 65536 $10.71 75.7
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Claude 3.7 Sonnet Mini Anthropic 32768 $9.74 73.0
DBRX Databricks 65536 $3.29 73.3
Yi-Large Chat 01.AI 65536 $3.49 73.5
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Llama 3 Hyperbolic Instruct Hyperbolic 200000 $3.79 76.2

Other benchmarks for Yi-Large Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.7 314 48th
GPQA Diamond 69.0 297 51th
SWE-bench Verified 59.3 338 44th
HumanEval 79.5 249 59th
MATH-500 76.1 297 51th
AIME 2025 71.0 238 60th
LiveCodeBench 62.7 339 44th
IFEval 82.4 262 56th
TruthfulQA 78.4 242 60th
HellaSwag 82.9 324 46th
MMMU 71.2 269 55th

FAQ

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

Yi-Large Chat scores 1386.2 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Yi-Large Chat rank on Arena Elo?

It ranks #262 of 600 models, in the 56th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Yi-Large Chat good at Arena Elo?

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 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 Chat cost?

Yi-Large Chat costs $3.49 per million input tokens and $13.97 per million output tokens.

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