Coding · Databricks

DBRX 7B on HumanEval: score, rank and what it means

DBRX 7B scores 54.5 on HumanEval, placing it #546 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
54.5
0–100 scale
Rank
#546
of 600
Percentile
9th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
42.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with DBRX 7B 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 7B sits at #546 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 42.3 points. The median model in this index scores 77.4, which puts DBRX 7B below the midpoint.

Databricks models average 65.7 on this benchmark. DBRX 7B is 11.2 points below that provider line, so it is a weaker result than the average Databricks model.

Among small open-weight models, the average is 56.7. DBRX 7B is 2.2 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 54.5 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 $0.65 per million input tokens, DBRX 7B 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
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5
Nemotron 4 1.5B NVIDIA 32768 $0.49 50.8
DBRX 8B Databricks 4096 $0.82 54.1
DBRX 7B Databricks 8192 $0.65 51.9
Phi-3.5 7B Microsoft 4096 $0.50 50.5
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5

Other benchmarks for DBRX 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.7 517 14th
GPQA Diamond 50.0 523 13th
SWE-bench Verified 35.7 548 9th
MATH-500 50.5 552 8th
AIME 2025 40.7 539 10th
LiveCodeBench 38.4 546 9th
IFEval 62.6 548 9th
TruthfulQA 58.7 542 10th
HellaSwag 70.7 527 12th
MMMU 48.2 562 6th
Arena Elo 1214.7 539 10th

FAQ

What score does DBRX 7B get on HumanEval?

DBRX 7B scores 54.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does DBRX 7B rank on HumanEval?

It ranks #546 of 600 models, in the 9th percentile. The leader is GPT-5.2 Pro at 96.8.

Is DBRX 7B 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 7B cost?

DBRX 7B costs $0.65 per million input tokens and $3.08 per million output tokens.

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