Coding · Databricks

DBRX on SWE-bench Verified: score, rank and what it means

DBRX scores 60.1 on SWE-bench Verified, placing it #324 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
60.1
0–100 scale
Rank
#324
of 600
Percentile
46th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
21.6
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with DBRX highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, DBRX sits at #324 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 21.6 points. The median model in this index scores 61.0, which puts DBRX below the midpoint.

Databricks models average 48.5 on this benchmark. DBRX is 11.6 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 55.5. DBRX is 4.6 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 60.1 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 SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Large Instruct 01.AI 32768 $3.48 73.4
Mixtral Mistral AI 65536 $3.48 73.7
Nova Lite Max Amazon 200000 $9.79 73.4
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
DBRX Databricks 65536 $3.29 73.3
Llama 3 Modal Base Modal 16384 $3.21 72.2
Claude Haiku 4.5 Mini Anthropic 16384 $8.76 71.6

Other benchmarks for DBRX

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 276 54th
GPQA Diamond 67.5 321 47th
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 SWE-bench Verified?

DBRX scores 60.1 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does DBRX rank on SWE-bench Verified?

It ranks #324 of 600 models, in the 46th percentile. The leader is GPT-5.2 Pro at 81.7.

Is DBRX good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified is a coding 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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