Safety · OpenRouter

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

Auto Turbo scores 71.7 on TruthfulQA, placing it #383 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
71.7
0–100 scale
Rank
#383
of 600
Percentile
36th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
19.4
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Auto Turbo 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 Turbo sits at #383 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 19.4 points. The median model in this index scores 76.3, which puts Auto Turbo below the midpoint.

OpenRouter models average 72.0 on this benchmark. Auto Turbo is 0.3 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 Turbo is 0.1 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 71.7 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 $7.96 per million input tokens, Auto Turbo 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
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4
Reka Flash Mini Reka AI 16384 $5.77 65.5
Arctic Base Snowflake 32768 $2.27 67.5
Firesearch Reasoning Fireworks AI 32768 $7.74 69.0
Auto Turbo OpenRouter 65536 $7.96 70.9
Firesearch Max Fireworks AI 8192 $7.80 69.9
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7

Other benchmarks for Auto Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.0 305 49th
GPQA Diamond 69.1 291 52th
SWE-bench Verified 57.1 365 39th
HumanEval 75.7 332 45th
MATH-500 71.2 377 37th
AIME 2025 64.8 340 43th
LiveCodeBench 60.2 366 39th
IFEval 80.7 318 47th
HellaSwag 83.9 283 53th
MMMU 70.0 301 50th
Arena Elo 1345.5 371 38th

FAQ

What score does Auto Turbo get on TruthfulQA?

Auto Turbo scores 71.7 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Auto Turbo rank on TruthfulQA?

It ranks #383 of 600 models, in the 36th percentile. The leader is GPT-5.1 Max at 91.1.

Is Auto Turbo 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 Turbo cost?

Auto Turbo costs $7.96 per million input tokens and $33.26 per million output tokens.

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