Reasoning · Databricks

DBRX Base on GPQA Diamond: score, rank and what it means

DBRX Base scores 66.5 on GPQA Diamond, placing it #338 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
66.5
0–100 scale
Rank
#338
of 600
Percentile
44th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
20.5
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, DBRX Base sits at #338 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 20.5 points. The median model in this index scores 68.8, which puts DBRX Base below the midpoint.

Databricks models average 58.8 on this benchmark. DBRX Base is 7.7 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 63.6. DBRX Base is 2.9 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 66.5 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 $2.63 per million input tokens, DBRX Base is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Command R+ Base Cohere 65536 $3.24 71.6
Mixtral Groq Chat Groq 8192 $3.09 72.0
Nova Lite Amazon 65536 $9.20 73.4
DBRX Instruct Databricks 8192 $3.21 72.4
DBRX Base Databricks 32768 $2.63 69.1
Llama 3 Replicate Base Replicate 65536 $3.15 72.1
Llama 3 Modal Base Modal 16384 $3.21 72.2

Other benchmarks for DBRX Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.4 343 43th
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
Arena Elo 1352.8 359 40th

FAQ

What score does DBRX Base get on GPQA Diamond?

DBRX Base scores 66.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does DBRX Base rank on GPQA Diamond?

It ranks #338 of 600 models, in the 44th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is DBRX Base good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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