Instruction following · Databricks

DBRX Instruct on IFEval: score, rank and what it means

DBRX Instruct scores 82.5 on IFEval, placing it #259 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
82.5
0–100 scale
Rank
#259
of 600
Percentile
57th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
13.6
points

Score distribution

The chart shows the top 10 models on IFEval, with DBRX Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, DBRX Instruct sits at #259 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 13.6 points. The median model in this index scores 81.2, which puts DBRX Instruct above the midpoint.

Databricks models average 72.2 on this benchmark. DBRX Instruct is 10.3 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 77.0. DBRX Instruct is 5.5 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 82.5 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 $3.21 per million input tokens, DBRX Instruct is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Mini OpenAI 128000 $10.68 76.2
Firefunction Pro Fireworks AI 16384 $9.05 72.9
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
DBRX Instruct Databricks 8192 $3.21 72.4
Firefunction Max Fireworks AI 32768 $9.12 73.2
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7

Other benchmarks for DBRX Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.2 346 42th
GPQA Diamond 66.6 337 44th
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
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 IFEval?

DBRX Instruct scores 82.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does DBRX Instruct rank on IFEval?

It ranks #259 of 600 models, in the 57th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is DBRX Instruct good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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