Safety · Databricks

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

DBRX Instruct scores 77.6 on TruthfulQA, placing it #264 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
77.6
0–100 scale
Rank
#264
of 600
Percentile
56th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
13.5
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with DBRX Instruct 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 Instruct sits at #264 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 13.5 points. The median model in this index scores 76.3, which puts DBRX Instruct above the midpoint.

Databricks models average 68.4 on this benchmark. DBRX Instruct is 9.2 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 Instruct is 5.3 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 77.6 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 $3.21 per million input tokens, DBRX Instruct 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
Reka Flash Pro Reka AI 200000 $10.82 75.2
Yi-Lightning 01.AI 32768 $4.22 77.2
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
DBRX Instruct Databricks 8192 $3.21 72.4
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Magistral Base Mistral AI 65536 $3.86 75.6

Other benchmarks for DBRX Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.2 346 42th
GPQA Diamond 66.6 337 44th
SWE-bench Verified 58.7 346 42th
HumanEval 74.8 346 42th
MATH-500 75.7 308 49th
AIME 2025 67.5 301 50th
LiveCodeBench 65.0 294 51th
IFEval 82.5 259 57th
HellaSwag 83.1 315 48th
MMMU 70.2 289 52th
Arena Elo 1374.8 293 51th

FAQ

What score does DBRX Instruct get on TruthfulQA?

DBRX Instruct scores 77.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does DBRX Instruct rank on TruthfulQA?

It ranks #264 of 600 models, in the 56th percentile. The leader is GPT-5.1 Max at 91.1.

Is DBRX Instruct good at TruthfulQA?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Instruct cost?

DBRX Instruct costs $3.21 per million input tokens and $15.67 per million output tokens.

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