Safety · Databricks

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

DBRX Base scores 70.7 on TruthfulQA, placing it #393 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
70.7
0–100 scale
Rank
#393
of 600
Percentile
35th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
20.4
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with DBRX 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, DBRX Base sits at #393 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 20.4 points. The median model in this index scores 76.3, which puts DBRX Base below the midpoint.

Databricks models average 68.4 on this benchmark. DBRX Base is 2.3 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 72.3. DBRX Base is 1.6 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 70.7 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 $2.63 per million input tokens, DBRX 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
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
Reka Core Mini Reka AI 8192 $7.48 70.1
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Nova Pro Nano Amazon 8192 $5.44 65.4
DBRX Base Databricks 32768 $2.63 69.1
Grok 3 Nano xAI 8192 $7.12 67.8
Sonar Pro Nano Perplexity 32768 $5.50 66.1

Other benchmarks for DBRX Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.4 343 43th
GPQA Diamond 66.5 338 44th
SWE-bench Verified 55.0 385 36th
HumanEval 75.9 329 45th
MATH-500 70.9 379 37th
AIME 2025 63.5 363 40th
LiveCodeBench 58.3 384 36th
IFEval 76.7 380 37th
HellaSwag 79.4 391 35th
MMMU 69.0 324 46th
Arena Elo 1352.8 359 40th

FAQ

What score does DBRX Base get on TruthfulQA?

DBRX Base scores 70.7 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does DBRX Base rank on TruthfulQA?

It ranks #393 of 600 models, in the 35th percentile. The leader is GPT-5.1 Max at 91.1.

Is DBRX 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 DBRX Base cost?

DBRX Base costs $2.63 per million input tokens and $11.61 per million output tokens.

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