Coding · OpenAI

GPT-4.1 on LiveCodeBench: score, rank and what it means

GPT-4.1 scores 77.8 on LiveCodeBench, placing it #66 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
77.8
0–100 scale
Rank
#66
of 600
Percentile
89th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
7.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with GPT-4.1 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, GPT-4.1 sits at #66 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 7.3 points. The median model in this index scores 64.7, which puts GPT-4.1 above the midpoint.

OpenAI models average 77.2 on this benchmark. GPT-4.1 is 0.6 points above that provider line, so it is a stronger result than the average OpenAI model.

Among multimodal models, the average is 70.3. GPT-4.1 is 7.5 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 77.8 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 $15.71 per million input tokens, GPT-4.1 is above 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
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0
Claude 3.7 Sonnet Max Anthropic 128000 $16.88 83.7
Qwen3-Max Reasoning Alibaba Cloud 2000000 $18.12 85.9
DeepSeek-V3.2 Chat DeepSeek 1000000 $5.80 82.5
GPT-4.1 OpenAI 1000000 $15.71 82.4
GPT-5.1 Vision OpenAI 400000 $17.76 84.8
Grok 4 Pro xAI 1000000 $19.00 85.4

Other benchmarks for GPT-4.1

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.2 48 92th
GPQA Diamond 76.1 118 80th
SWE-bench Verified 72.2 74 88th
HumanEval 88.3 68 89th
MATH-500 86.8 82 86th
AIME 2025 79.9 89 85th
IFEval 90.4 63 90th
TruthfulQA 81.8 132 78th
HellaSwag 90.3 77 87th
MMMU 76.3 132 78th
Arena Elo 1432.4 115 81th

FAQ

What score does GPT-4.1 get on LiveCodeBench?

GPT-4.1 scores 77.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does GPT-4.1 rank on LiveCodeBench?

It ranks #66 of 600 models, in the 89th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is GPT-4.1 good at LiveCodeBench?

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 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 GPT-4.1 cost?

GPT-4.1 costs $15.71 per million input tokens and $64.52 per million output tokens.

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