Preference · Databricks

DBRX Base on Arena Elo: score, rank and what it means

DBRX Base scores 1352.8 on Arena Elo, placing it #359 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1352.8
0–100 scale
Rank
#359
of 600
Percentile
40th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
149.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with DBRX Base highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, DBRX Base sits at #359 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 149.1 points. The median model in this index scores 1373.8, which puts DBRX Base below the midpoint.

Databricks models average 1303.5 on this benchmark. DBRX Base is 49.3 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 1338.0. DBRX Base is 14.8 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 1352.8 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 $2.63 per million input tokens, DBRX Base is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Nano OpenAI 32768 $7.78 70.6
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Yi-Large Base 01.AI 16384 $2.78 70.3
Firesearch Fireworks AI 32768 $7.03 68.5
DBRX Base Databricks 32768 $2.63 69.1
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
Firesearch Turbo Fireworks AI 16384 $7.58 69.3

Other benchmarks for DBRX Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.4 343 43th
GPQA Diamond 66.5 338 44th
SWE-bench Verified 55.0 385 36th
HumanEval 75.9 329 45th
MATH-500 70.9 379 37th
AIME 2025 63.5 363 40th
LiveCodeBench 58.3 384 36th
IFEval 76.7 380 37th
TruthfulQA 70.7 393 35th
HellaSwag 79.4 391 35th
MMMU 69.0 324 46th

FAQ

What score does DBRX Base get on Arena Elo?

DBRX Base scores 1352.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does DBRX Base rank on Arena Elo?

It ranks #359 of 600 models, in the 40th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is DBRX Base good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 Base cost?

DBRX Base costs $2.63 per million input tokens and $11.61 per million output tokens.

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