Preference · OpenAI

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

GPT-4.1 Mini scores 1379.7 on Arena Elo, placing it #274 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
1379.7
0–100 scale
Rank
#274
of 600
Percentile
54th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
122.2
points

Score distribution

The chart shows the top 10 models on Arena Elo, with GPT-4.1 Mini 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 Mini sits at #274 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 122.2 points. The median model in this index scores 1373.8, which puts GPT-4.1 Mini above the midpoint.

OpenAI models average 1449.4 on this benchmark. GPT-4.1 Mini is 69.7 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 Mini is 29.9 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 1379.7 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 $10.43 per million input tokens, GPT-4.1 Mini 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
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Llama 3.1 Turbo Base Together AI 16384 $3.30 73.0
Grok 3 Mini xAI 200000 $9.67 73.9
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Llama 3 Modal Chat Modal 65536 $3.55 73.3
Magistral Base Mistral AI 65536 $3.86 75.6

Other benchmarks for GPT-4.1 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.7 285 53th
GPQA Diamond 69.3 285 53th
SWE-bench Verified 60.9 304 49th
HumanEval 78.9 267 56th
MATH-500 77.9 259 57th
AIME 2025 66.9 314 48th
LiveCodeBench 67.0 249 59th
IFEval 81.4 289 52th
TruthfulQA 79.8 185 69th
HellaSwag 84.9 250 58th
MMMU 73.9 195 68th

FAQ

What score does GPT-4.1 Mini get on Arena Elo?

GPT-4.1 Mini scores 1379.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does GPT-4.1 Mini rank on Arena Elo?

It ranks #274 of 600 models, in the 54th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is GPT-4.1 Mini 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 Mini cost?

GPT-4.1 Mini costs $10.43 per million input tokens and $49.01 per million output tokens.

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