Reasoning · Databricks

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

DBRX Instruct scores 66.6 on GPQA Diamond, placing it #337 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
66.6
0–100 scale
Rank
#337
of 600
Percentile
44th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
20.4
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with DBRX Instruct 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 Instruct sits at #337 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 20.4 points. The median model in this index scores 68.8, which puts DBRX Instruct below the midpoint.

Databricks models average 58.8 on this benchmark. DBRX Instruct is 7.8 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 Instruct is 3.0 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 66.6 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 $3.21 per million input tokens, DBRX Instruct 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 A Mini Cohere 8192 $8.12 71.0
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

Other benchmarks for DBRX Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.2 346 42th
SWE-bench Verified 58.7 346 42th
HumanEval 74.8 346 42th
MATH-500 75.7 308 49th
AIME 2025 67.5 301 50th
LiveCodeBench 65.0 294 51th
IFEval 82.5 259 57th
TruthfulQA 77.6 264 56th
HellaSwag 83.1 315 48th
MMMU 70.2 289 52th
Arena Elo 1374.8 293 51th

FAQ

What score does DBRX Instruct get on GPQA Diamond?

DBRX Instruct scores 66.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does DBRX Instruct rank on GPQA Diamond?

It ranks #337 of 600 models, in the 44th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is DBRX Instruct 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 Instruct cost?

DBRX Instruct costs $3.21 per million input tokens and $15.67 per million output tokens.

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