Safety · Snowflake

Arctic Base on TruthfulQA: score, rank and what it means

Arctic Base scores 71.9 on TruthfulQA, placing it #381 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
71.9
0–100 scale
Rank
#381
of 600
Percentile
37th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
19.2
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Arctic Base 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, Arctic Base sits at #381 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 19.2 points. The median model in this index scores 76.3, which puts Arctic Base below the midpoint.

Snowflake models average 65.5 on this benchmark. Arctic Base is 6.4 points above that provider line, so it is a stronger result than the average Snowflake model.

Among open-weight models, the average is 72.3. Arctic Base is 0.4 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 71.9 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 $2.27 per million input tokens, Arctic Base is below 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
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
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

Other benchmarks for Arctic Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.5 401 33th
GPQA Diamond 62.0 391 35th
SWE-bench Verified 56.2 374 38th
HumanEval 71.5 383 36th
MATH-500 71.6 370 38th
AIME 2025 62.7 368 39th
LiveCodeBench 61.0 360 40th
IFEval 74.9 399 34th
HellaSwag 79.9 379 37th
MMMU 61.6 413 31th
Arena Elo 1343.8 373 38th

FAQ

What score does Arctic Base get on TruthfulQA?

Arctic Base scores 71.9 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Arctic Base rank on TruthfulQA?

It ranks #381 of 600 models, in the 37th percentile. The leader is GPT-5.1 Max at 91.1.

Is Arctic Base 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 Arctic Base cost?

Arctic Base costs $2.27 per million input tokens and $10.68 per million output tokens.

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