Safety · OpenRouter

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

Auto Mini scores 67.0 on TruthfulQA, placing it #429 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
67.0
0–100 scale
Rank
#429
of 600
Percentile
29th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
24.1
points

Score distribution

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

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Auto Mini sits at #429 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 24.1 points. The median model in this index scores 76.3, which puts Auto Mini below the midpoint.

OpenRouter models average 72.0 on this benchmark. Auto Mini is 5.0 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 71.6. Auto Mini is 4.6 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 67.0 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 TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Pythia EleutherAI 32768 $1.29 59.8
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Nova Lite Mini Amazon 16384 $5.43 65.0
Auto Mini OpenRouter 4096 $4.24 61.6
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2

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
HellaSwag 74.7 446 26th
MMMU 59.3 436 27th
Arena Elo 1290.3 431 28th

FAQ

What score does Auto Mini get on TruthfulQA?

Auto Mini scores 67.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Auto Mini rank on TruthfulQA?

It ranks #429 of 600 models, in the 29th percentile. The leader is GPT-5.1 Max at 91.1.

Is Auto Mini good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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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