Coding · Databricks

DBRX 1.5B on LiveCodeBench: score, rank and what it means

DBRX 1.5B scores 33.6 on LiveCodeBench, placing it #574 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
33.6
0–100 scale
Rank
#574
of 600
Percentile
4th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
51.5
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with DBRX 1.5B highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, DBRX 1.5B sits at #574 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 51.5 points. The median model in this index scores 64.7, which puts DBRX 1.5B below the midpoint.

Databricks models average 51.8 on this benchmark. DBRX 1.5B is 18.2 points below that provider line, so it is a weaker result than the average Databricks model.

Among small open-weight models, the average is 41.2. DBRX 1.5B is 7.6 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 33.6 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 $0.32 per million input tokens, DBRX 1.5B is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Replicate 1.5B Replicate 4096 $0.51 49.3
Mixtral Turbo 1.5B Together AI 4096 $0.31 47.6
Mistral Small 3 1.5B Mistral AI 32768 $0.42 49.2
Gemma 3 1.5B Google DeepMind 32768 $0.40 48.9
DBRX 1.5B Databricks 16384 $0.32 47.0
Seed-OSS 1.5B ByteDance 4096 $0.45 49.8
Llama 3 DeepInfra 1.5B DeepInfra 32768 $0.48 48.8

Other benchmarks for DBRX 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 52.8 581 3th
GPQA Diamond 43.6 573 5th
SWE-bench Verified 32.7 572 5th
HumanEval 48.3 583 3th
MATH-500 44.0 583 3th
AIME 2025 34.8 571 5th
IFEval 58.1 582 3th
TruthfulQA 54.9 575 4th
HellaSwag 66.2 575 4th
MMMU 48.0 563 6th
Arena Elo 1180.3 576 4th

FAQ

What score does DBRX 1.5B get on LiveCodeBench?

DBRX 1.5B scores 33.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does DBRX 1.5B rank on LiveCodeBench?

It ranks #574 of 600 models, in the 4th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is DBRX 1.5B good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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 1.5B cost?

DBRX 1.5B costs $0.32 per million input tokens and $1.22 per million output tokens.

Related