Coding · Databricks

DBRX on HumanEval: score, rank and what it means

DBRX scores 78.2 on HumanEval, placing it #284 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
78.2
0–100 scale
Rank
#284
of 600
Percentile
53th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
18.6
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, DBRX sits at #284 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 18.6 points. The median model in this index scores 77.4, which puts DBRX above the midpoint.

Databricks models average 65.7 on this benchmark. DBRX is 12.5 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 72.4. DBRX is 5.8 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 78.2 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.3 Groq Groq 32768 $3.98 76.8
Magistral Base Mistral AI 65536 $3.86 75.6
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6
DeepSeek-Coder Base DeepSeek 32768 $3.53 74.1
DBRX Databricks 65536 $3.29 73.3
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Mixtral Instruct Mistral AI 65536 $3.35 72.9

Other benchmarks for DBRX

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 276 54th
GPQA Diamond 67.5 321 47th
SWE-bench Verified 60.1 324 46th
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
HellaSwag 84.5 264 56th
MMMU 69.3 320 47th
Arena Elo 1386.5 261 57th

FAQ

What score does DBRX get on HumanEval?

DBRX scores 78.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does DBRX rank on HumanEval?

It ranks #284 of 600 models, in the 53rd percentile. The leader is GPT-5.2 Pro at 96.8.

Is DBRX good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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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