Coding · Databricks

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

DBRX Base scores 55.0 on SWE-bench Verified, placing it #385 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
55.0
0–100 scale
Rank
#385
of 600
Percentile
36th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
26.7
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with DBRX Base 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 Base sits at #385 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 26.7 points. The median model in this index scores 61.0, which puts DBRX Base below the midpoint.

Databricks models average 48.5 on this benchmark. DBRX Base is 6.5 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 Base is 0.5 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 55.0 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 $2.63 per million input tokens, DBRX Base 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
Sonar Pro Nano Perplexity 32768 $5.50 66.1
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2
Embed 4 Max Cohere 8192 $5.68 66.1
Grok 3 Nano xAI 8192 $7.12 67.8
DBRX Base Databricks 32768 $2.63 69.1
Mixtral Groq Base Groq 32768 $2.66 68.4
Command A Nano Cohere 8192 $5.90 66.3

Other benchmarks for DBRX Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.4 343 43th
GPQA Diamond 66.5 338 44th
HumanEval 75.9 329 45th
MATH-500 70.9 379 37th
AIME 2025 63.5 363 40th
LiveCodeBench 58.3 384 36th
IFEval 76.7 380 37th
TruthfulQA 70.7 393 35th
HellaSwag 79.4 391 35th
MMMU 69.0 324 46th
Arena Elo 1352.8 359 40th

FAQ

What score does DBRX Base get on SWE-bench Verified?

DBRX Base scores 55.0 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does DBRX Base rank on SWE-bench Verified?

It ranks #385 of 600 models, in the 36th percentile. The leader is GPT-5.2 Pro at 81.7.

Is DBRX Base 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 Base cost?

DBRX Base costs $2.63 per million input tokens and $11.61 per million output tokens.

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