Instruction following · Databricks

DBRX 8B on IFEval: score, rank and what it means

DBRX 8B scores 64.8 on IFEval, placing it #534 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
64.8
0–100 scale
Rank
#534
of 600
Percentile
11th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
31.3
points

Score distribution

The chart shows the top 10 models on IFEval, with DBRX 8B 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 8B sits at #534 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 31.3 points. The median model in this index scores 81.2, which puts DBRX 8B below the midpoint.

Databricks models average 72.2 on this benchmark. DBRX 8B is 7.4 points below that provider line, so it is a weaker result than the average Databricks model.

Among small open-weight models, the average is 64.9. DBRX 8B is 0.1 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 64.8 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 $0.82 per million input tokens, DBRX 8B 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
Llama 3 Novita 8B Novita AI 16384 $0.99 55.5
Mixtral Groq 8B Groq 32768 $0.77 54.8
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Yi-Large 7B 01.AI 4096 $0.83 55.0
DBRX 8B Databricks 4096 $0.82 54.1
Llama 3.3 1.5B Meta AI 4096 $0.61 52.2
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5

Other benchmarks for DBRX 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 61.1 511 15th
GPQA Diamond 49.5 531 12th
SWE-bench Verified 37.4 540 10th
HumanEval 54.7 545 9th
MATH-500 55.8 508 15th
AIME 2025 45.7 491 18th
LiveCodeBench 38.6 545 9th
TruthfulQA 61.9 505 16th
HellaSwag 70.3 530 12th
MMMU 55.0 496 17th
Arena Elo 1243.0 503 16th

FAQ

What score does DBRX 8B get on IFEval?

DBRX 8B scores 64.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does DBRX 8B rank on IFEval?

It ranks #534 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is DBRX 8B good at IFEval?

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 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 8B cost?

DBRX 8B costs $0.82 per million input tokens and $3.15 per million output tokens.

Related