Coding · 01.AI

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

Yi-Large Base scores 60.6 on LiveCodeBench, placing it #361 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
60.6
0–100 scale
Rank
#361
of 600
Percentile
40th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
24.5
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Yi-Large Base sits at #361 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 24.5 points. The median model in this index scores 64.7, which puts Yi-Large Base below the midpoint.

01.AI models average 55.4 on this benchmark. Yi-Large Base is 5.2 points above that provider line, so it is a stronger result than the average 01.AI model.

Among open-weight models, the average is 59.1. Yi-Large Base is 1.5 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 60.6 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Firefunction Fireworks AI 16384 $8.16 72.3
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Arctic Base Snowflake 32768 $2.27 67.5
Yi-Large Base 01.AI 16384 $2.78 70.3
Fusion Turbo OpenRouter 8192 $8.55 71.7
Llama 3 Novita Base Novita AI 8192 $3.06 70.3

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
IFEval 80.4 327 46th
TruthfulQA 75.9 311 48th
HellaSwag 83.0 322 46th
MMMU 68.6 333 45th
Arena Elo 1353.7 357 41th

FAQ

What score does Yi-Large Base get on LiveCodeBench?

Yi-Large Base scores 60.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Yi-Large Base rank on LiveCodeBench?

It ranks #361 of 600 models, in the 40th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Yi-Large Base good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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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