Coding · Databricks

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

DBRX Chat scores 64.4 on LiveCodeBench, placing it #307 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
64.4
0–100 scale
Rank
#307
of 600
Percentile
49th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
20.7
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with DBRX Chat 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 Chat sits at #307 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 20.7 points. The median model in this index scores 64.7, which puts DBRX Chat below the midpoint.

Databricks models average 51.8 on this benchmark. DBRX Chat is 12.6 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 Chat is 5.3 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 64.4 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 $3.07 per million input tokens, DBRX Chat 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
Phi-4 Microsoft 200000 $3.96 75.4
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
DBRX Chat Databricks 65536 $3.07 71.7
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Fusion OpenRouter 16384 $8.41 71.1

Other benchmarks for DBRX Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.2 326 46th
GPQA Diamond 67.8 313 48th
SWE-bench Verified 60.0 327 46th
HumanEval 73.6 364 39th
MATH-500 73.2 354 41th
AIME 2025 67.4 305 49th
IFEval 78.6 361 40th
TruthfulQA 76.9 285 53th
HellaSwag 80.8 374 38th
MMMU 70.4 283 53th
Arena Elo 1372.7 307 49th

FAQ

What score does DBRX Chat get on LiveCodeBench?

DBRX Chat scores 64.4 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does DBRX Chat rank on LiveCodeBench?

It ranks #307 of 600 models, in the 49th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is DBRX Chat 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 Chat cost?

DBRX Chat costs $3.07 per million input tokens and $16.42 per million output tokens.

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