Coding · Databricks

DBRX 8B on SWE-bench Verified: score, rank and what it means

DBRX 8B scores 37.4 on SWE-bench Verified, placing it #540 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
37.4
0–100 scale
Rank
#540
of 600
Percentile
10th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
44.3
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with DBRX 8B 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 8B sits at #540 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 44.3 points. The median model in this index scores 61.0, which puts DBRX 8B below the midpoint.

Databricks models average 48.5 on this benchmark. DBRX 8B is 11.1 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 8B is 1.6 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 37.4 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 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 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Mistral Large 3 1.5B Mistral AI 32768 $0.82 55.4
Llama 3.1 1.5B Meta AI 4096 $0.53 50.7
Llama 3.3 1.5B Meta AI 4096 $0.61 52.2
DBRX 8B Databricks 4096 $0.82 54.1
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
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
HumanEval 54.7 545 9th
MATH-500 55.8 508 15th
AIME 2025 45.7 491 18th
LiveCodeBench 38.6 545 9th
IFEval 64.8 534 11th
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 SWE-bench Verified?

DBRX 8B scores 37.4 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does DBRX 8B rank on SWE-bench Verified?

It ranks #540 of 600 models, in the 10th percentile. The leader is GPT-5.2 Pro at 81.7.

Is DBRX 8B 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 8B cost?

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

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