Commonsense · OpenRouter

Auto Mini on HellaSwag: score, rank and what it means

Auto Mini scores 74.7 on HellaSwag, placing it #446 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
74.7
0–100 scale
Rank
#446
of 600
Percentile
26th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
21.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Auto Mini highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Auto Mini sits at #446 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 21.4 points. The median model in this index scores 83.6, which puts Auto Mini below the midpoint.

OpenRouter models average 80.2 on this benchmark. Auto Mini is 5.5 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 79.8. Auto Mini is 5.1 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 74.7 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 $4.24 per million input tokens, Auto Mini is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-NeoX EleutherAI 16384 $1.57 61.7
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Magistral 8B Mistral AI 4096 $1.33 60.0
Auto Mini OpenRouter 4096 $4.24 61.6
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
MiniMax-Text 8B MiniMax 4096 $1.22 59.5

Other benchmarks for Auto Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.8 407 32th
GPQA Diamond 55.8 451 25th
SWE-bench Verified 48.8 431 28th
HumanEval 66.1 428 29th
MATH-500 62.1 442 26th
AIME 2025 49.8 462 23th
LiveCodeBench 53.1 417 31th
IFEval 72.4 426 29th
TruthfulQA 67.0 429 29th
MMMU 59.3 436 27th
Arena Elo 1290.3 431 28th

FAQ

What score does Auto Mini get on HellaSwag?

Auto Mini scores 74.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Auto Mini rank on HellaSwag?

It ranks #446 of 600 models, in the 26th percentile. The leader is GPT-5.2 Max at 96.1.

Is Auto Mini good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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 Auto Mini cost?

Auto Mini costs $4.24 per million input tokens and $18.05 per million output tokens.

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