Coding · Databricks

DBRX 8B on HumanEval: score, rank and what it means

DBRX 8B scores 54.7 on HumanEval, placing it #545 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
54.7
0–100 scale
Rank
#545
of 600
Percentile
9th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
42.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with DBRX 8B 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 8B sits at #545 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 42.1 points. The median model in this index scores 77.4, which puts DBRX 8B below the midpoint.

Databricks models average 65.7 on this benchmark. DBRX 8B is 11.0 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 8B is 2.0 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 54.7 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 $0.82 per million input tokens, DBRX 8B 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
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
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

Other benchmarks for DBRX 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 61.1 511 15th
GPQA Diamond 49.5 531 12th
SWE-bench Verified 37.4 540 10th
MATH-500 55.8 508 15th
AIME 2025 45.7 491 18th
LiveCodeBench 38.6 545 9th
IFEval 64.8 534 11th
TruthfulQA 61.9 505 16th
HellaSwag 70.3 530 12th
MMMU 55.0 496 17th
Arena Elo 1243.0 503 16th

FAQ

What score does DBRX 8B get on HumanEval?

DBRX 8B scores 54.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does DBRX 8B rank on HumanEval?

It ranks #545 of 600 models, in the 9th percentile. The leader is GPT-5.2 Pro at 96.8.

Is DBRX 8B 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 8B cost?

DBRX 8B costs $0.82 per million input tokens and $3.15 per million output tokens.

Related