Preference · Databricks

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

DBRX Chat scores 1372.7 on Arena Elo, placing it #307 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
1372.7
0–100 scale
Rank
#307
of 600
Percentile
49th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
129.2
points

Score distribution

The chart shows the top 10 models on Arena Elo, with DBRX Chat 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 Chat sits at #307 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 129.2 points. The median model in this index scores 1373.8, which puts DBRX Chat below the midpoint.

Databricks models average 1303.5 on this benchmark. DBRX Chat is 69.2 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 Chat is 34.7 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 1372.7 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 Arena Elo. 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 Replicate 200000 $3.75 75.7
MiniMax-Text Base MiniMax 128000 $3.66 74.9
Claude Opus 4.5 Nano Anthropic 32768 $9.38 73.3
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
DBRX Chat Databricks 65536 $3.07 71.7
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Phi-4 Chat Microsoft 65536 $3.66 74.7

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
LiveCodeBench 64.4 307 49th
IFEval 78.6 361 40th
TruthfulQA 76.9 285 53th
HellaSwag 80.8 374 38th
MMMU 70.4 283 53th

FAQ

What score does DBRX Chat get on Arena Elo?

DBRX Chat scores 1372.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does DBRX Chat rank on Arena Elo?

It ranks #307 of 600 models, in the 49th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is DBRX Chat 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 Chat cost?

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

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