Preference · OpenAI

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

GPT-4.1 scores 1432.4 on Arena Elo, placing it #115 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
1432.4
0–100 scale
Rank
#115
of 600
Percentile
81th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
69.5
points

Score distribution

The chart shows the top 10 models on Arena Elo, with GPT-4.1 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, GPT-4.1 sits at #115 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 69.5 points. The median model in this index scores 1373.8, which puts GPT-4.1 above the midpoint.

OpenAI models average 1449.4 on this benchmark. GPT-4.1 is 17.0 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 1409.6. GPT-4.1 is 22.8 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 1432.4 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 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 Pro Pro Perplexity 200000 $13.59 79.7
DeepSeek-R1 Chat DeepSeek 400000 $5.62 82.4
Nova Pro Turbo Amazon 128000 $13.18 78.4
Doubao 1.5 Pro Turbo ByteDance 128000 $13.81 79.4
GPT-4.1 OpenAI 1000000 $15.71 82.4
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
Kimi K1.5 Moonshot AI 128000 $5.19 80.7

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
LiveCodeBench 77.8 66 89th
IFEval 90.4 63 90th
TruthfulQA 81.8 132 78th
HellaSwag 90.3 77 87th
MMMU 76.3 132 78th

FAQ

What score does GPT-4.1 get on Arena Elo?

GPT-4.1 scores 1432.4 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does GPT-4.1 rank on Arena Elo?

It ranks #115 of 600 models, in the 81st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is GPT-4.1 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 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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