Preference · 01.AI

Yi-Large 7B on Arena Elo: score, rank and what it means

Yi-Large 7B scores 1218.0 on Arena Elo, placing it #536 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
1218.0
0–100 scale
Rank
#536
of 600
Percentile
11th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
283.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Yi-Large 7B 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 7B sits at #536 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 283.9 points. The median model in this index scores 1373.8, which puts Yi-Large 7B below the midpoint.

01.AI models average 1317.5 on this benchmark. Yi-Large 7B is 99.5 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 1224.7. Yi-Large 7B is 6.7 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 1218.0 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 $0.83 per million input tokens, Yi-Large 7B 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
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
GLM-4.5 1.5B Zhipu AI 16384 $0.65 53.3
Yi-Large 7B 01.AI 4096 $0.83 55.0
Mixtral 7B Mistral AI 16384 $0.70 54.1
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8

Other benchmarks for Yi-Large 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 61.2 510 15th
GPQA Diamond 50.0 524 13th
SWE-bench Verified 41.6 505 16th
HumanEval 60.0 505 16th
MATH-500 57.3 496 17th
AIME 2025 45.9 490 18th
LiveCodeBench 42.8 520 13th
IFEval 64.9 533 11th
TruthfulQA 59.6 535 11th
HellaSwag 69.8 538 10th
MMMU 51.7 537 11th

FAQ

What score does Yi-Large 7B get on Arena Elo?

Yi-Large 7B scores 1218.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Yi-Large 7B rank on Arena Elo?

It ranks #536 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Yi-Large 7B 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 7B cost?

Yi-Large 7B costs $0.83 per million input tokens and $3.25 per million output tokens.

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