Commonsense · Databricks

DBRX on HellaSwag: score, rank and what it means

DBRX scores 84.5 on HellaSwag, placing it #264 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
84.5
0–100 scale
Rank
#264
of 600
Percentile
56th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
11.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with DBRX highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, DBRX sits at #264 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 11.6 points. The median model in this index scores 83.6, which puts DBRX above the midpoint.

Databricks models average 76.4 on this benchmark. DBRX is 8.1 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 80.2. DBRX is 4.3 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 84.5 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 $3.29 per million input tokens, DBRX is below the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Hunyuan-Large Tencent 65536 $4.33 78.2
Hunyuan-Turbo Turbo Tencent 65536 $11.60 77.4
DBRX Databricks 65536 $3.29 73.3
Llama 3 Novita Novita AI 128000 $3.70 74.4
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6

Other benchmarks for DBRX

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 276 54th
GPQA Diamond 67.5 321 47th
SWE-bench Verified 60.1 324 46th
HumanEval 78.2 284 53th
MATH-500 76.3 291 52th
AIME 2025 69.6 265 56th
LiveCodeBench 64.0 316 47th
IFEval 82.3 264 56th
TruthfulQA 77.9 256 57th
MMMU 69.3 320 47th
Arena Elo 1386.5 261 57th

FAQ

What score does DBRX get on HellaSwag?

DBRX scores 84.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does DBRX rank on HellaSwag?

It ranks #264 of 600 models, in the 56th percentile. The leader is GPT-5.2 Max at 96.1.

Is DBRX good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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 cost?

DBRX costs $3.29 per million input tokens and $16.96 per million output tokens.

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