Preference · Databricks

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

DBRX scores 1386.5 on Arena Elo, placing it #261 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
1386.5
0–100 scale
Rank
#261
of 600
Percentile
57th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
115.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with DBRX 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 sits at #261 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 115.4 points. The median model in this index scores 1373.8, which puts DBRX above the midpoint.

Databricks models average 1303.5 on this benchmark. DBRX is 83.0 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 is 48.5 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 1386.5 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 $3.29 per million input tokens, DBRX 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
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Sonar Turbo Perplexity 65536 $10.71 75.7
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Claude 3.7 Sonnet Mini Anthropic 32768 $9.74 73.0
DBRX Databricks 65536 $3.29 73.3
Yi-Large Chat 01.AI 65536 $3.49 73.5
Hunyuan-Large Base Tencent 200000 $3.64 74.0

Other benchmarks for DBRX

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 276 54th
GPQA Diamond 67.5 321 47th
SWE-bench Verified 60.1 324 46th
HumanEval 78.2 284 53th
MATH-500 76.3 291 52th
AIME 2025 69.6 265 56th
LiveCodeBench 64.0 316 47th
IFEval 82.3 264 56th
TruthfulQA 77.9 256 57th
HellaSwag 84.5 264 56th
MMMU 69.3 320 47th

FAQ

What score does DBRX get on Arena Elo?

DBRX scores 1386.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does DBRX rank on Arena Elo?

It ranks #261 of 600 models, in the 57th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is DBRX good at Arena Elo?

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 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 cost?

DBRX costs $3.29 per million input tokens and $16.96 per million output tokens.

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