Coding · Databricks

DBRX 7B on SWE-bench Verified: score, rank and what it means

DBRX 7B scores 35.7 on SWE-bench Verified, placing it #548 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
35.7
0–100 scale
Rank
#548
of 600
Percentile
9th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
46.0
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with DBRX 7B 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 7B sits at #548 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 46.0 points. The median model in this index scores 61.0, which puts DBRX 7B below the midpoint.

Databricks models average 48.5 on this benchmark. DBRX 7B is 12.8 points below that provider line, so it is a weaker result than the average Databricks model.

Among small open-weight models, the average is 39.0. DBRX 7B is 3.3 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 35.7 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 $0.65 per million input tokens, DBRX 7B 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
Llama 3.1 Cerebras 1.5B Cerebras 4096 $0.48 50.2
Mixtral Groq 7B Groq 4096 $0.70 53.4
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0
DBRX 7B Databricks 8192 $0.65 51.9
Llama 3 Anyscale 1.5B Anyscale 16384 $0.43 48.9
Llama 3 Replicate 1.5B Replicate 4096 $0.51 49.3

Other benchmarks for DBRX 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.7 517 14th
GPQA Diamond 50.0 523 13th
HumanEval 54.5 546 9th
MATH-500 50.5 552 8th
AIME 2025 40.7 539 10th
LiveCodeBench 38.4 546 9th
IFEval 62.6 548 9th
TruthfulQA 58.7 542 10th
HellaSwag 70.7 527 12th
MMMU 48.2 562 6th
Arena Elo 1214.7 539 10th

FAQ

What score does DBRX 7B get on SWE-bench Verified?

DBRX 7B scores 35.7 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does DBRX 7B rank on SWE-bench Verified?

It ranks #548 of 600 models, in the 9th percentile. The leader is GPT-5.2 Pro at 81.7.

Is DBRX 7B 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 7B cost?

DBRX 7B costs $0.65 per million input tokens and $3.08 per million output tokens.

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