Coding · Databricks

DBRX Instruct on LiveCodeBench: score, rank and what it means

DBRX Instruct scores 65.0 on LiveCodeBench, placing it #294 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
65.0
0–100 scale
Rank
#294
of 600
Percentile
51th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
20.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with DBRX Instruct 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 Instruct sits at #294 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 20.1 points. The median model in this index scores 64.7, which puts DBRX Instruct above the midpoint.

Databricks models average 51.8 on this benchmark. DBRX Instruct is 13.2 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 59.1. DBRX Instruct is 5.9 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 65.0 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 $3.21 per million input tokens, DBRX Instruct 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
Auto Reasoning OpenRouter 65536 $8.39 71.5
Llama 3 Modal Base Modal 16384 $3.21 72.2
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Claude Opus 4.5 Nano Anthropic 32768 $9.38 73.3
DBRX Instruct Databricks 8192 $3.21 72.4
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
Hunyuan-Turbo Tencent 128000 $10.55 75.8

Other benchmarks for DBRX Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.2 346 42th
GPQA Diamond 66.6 337 44th
SWE-bench Verified 58.7 346 42th
HumanEval 74.8 346 42th
MATH-500 75.7 308 49th
AIME 2025 67.5 301 50th
IFEval 82.5 259 57th
TruthfulQA 77.6 264 56th
HellaSwag 83.1 315 48th
MMMU 70.2 289 52th
Arena Elo 1374.8 293 51th

FAQ

What score does DBRX Instruct get on LiveCodeBench?

DBRX Instruct scores 65.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does DBRX Instruct rank on LiveCodeBench?

It ranks #294 of 600 models, in the 51st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is DBRX Instruct good at LiveCodeBench?

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 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 Instruct cost?

DBRX Instruct costs $3.21 per million input tokens and $15.67 per million output tokens.

Related