Reasoning · Databricks

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

DBRX scores 67.5 on GPQA Diamond, placing it #321 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
67.5
0–100 scale
Rank
#321
of 600
Percentile
47th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
19.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with DBRX 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 sits at #321 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 19.5 points. The median model in this index scores 68.8, which puts DBRX below the midpoint.

Databricks models average 58.8 on this benchmark. DBRX is 8.7 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 is 3.9 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 67.5 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Llama 3 Replicate Replicate 200000 $3.75 75.7
Fusion Pro OpenRouter 65536 $8.69 72.2
Mixtral Instruct Mistral AI 65536 $3.35 72.9
DBRX Databricks 65536 $3.29 73.3
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Fusion Reasoning OpenRouter 65536 $8.59 72.2

Other benchmarks for DBRX

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 276 54th
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
Arena Elo 1386.5 261 57th

FAQ

What score does DBRX get on GPQA Diamond?

DBRX scores 67.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does DBRX rank on GPQA Diamond?

It ranks #321 of 600 models, in the 47th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is DBRX 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 cost?

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

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