Coding · Databricks

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

DBRX Base scores 75.9 on HumanEval, placing it #329 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
75.9
0–100 scale
Rank
#329
of 600
Percentile
45th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
20.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with DBRX Base 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 Base sits at #329 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 20.9 points. The median model in this index scores 77.4, which puts DBRX Base below the midpoint.

Databricks models average 65.7 on this benchmark. DBRX Base is 10.2 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 72.4. DBRX Base is 3.5 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 75.9 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 $2.63 per million input tokens, DBRX Base 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
Grok 4 Nano xAI 16384 $8.97 72.7
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Phi-3.5 Microsoft 16384 $2.81 70.9
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
DBRX Base Databricks 32768 $2.63 69.1
Mixtral Mistral AI 65536 $3.48 73.7
Llama 3 Baseten Base Baseten 16384 $3.16 72.4

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
MATH-500 70.9 379 37th
AIME 2025 63.5 363 40th
LiveCodeBench 58.3 384 36th
IFEval 76.7 380 37th
TruthfulQA 70.7 393 35th
HellaSwag 79.4 391 35th
MMMU 69.0 324 46th
Arena Elo 1352.8 359 40th

FAQ

What score does DBRX Base get on HumanEval?

DBRX Base scores 75.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does DBRX Base rank on HumanEval?

It ranks #329 of 600 models, in the 45th percentile. The leader is GPT-5.2 Pro at 96.8.

Is DBRX Base good at HumanEval?

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 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 Base cost?

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

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