Coding · Databricks

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

DBRX Instruct scores 58.7 on SWE-bench Verified, placing it #346 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
58.7
0–100 scale
Rank
#346
of 600
Percentile
42th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
23.0
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with DBRX Instruct 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 Instruct sits at #346 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 23.0 points. The median model in this index scores 61.0, which puts DBRX Instruct below the midpoint.

Databricks models average 48.5 on this benchmark. DBRX Instruct is 10.2 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 Instruct is 3.2 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 58.7 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 $3.21 per million input tokens, DBRX Instruct 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 Lambda Base Lambda 8192 $3.19 72.9
Nova Pro Mini Amazon 16384 $7.74 70.6
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Auto Max OpenRouter 8192 $8.41 71.2
DBRX Instruct Databricks 8192 $3.21 72.4
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Arctic Instruct Snowflake 65536 $2.83 70.6

Other benchmarks for DBRX Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.2 346 42th
GPQA Diamond 66.6 337 44th
HumanEval 74.8 346 42th
MATH-500 75.7 308 49th
AIME 2025 67.5 301 50th
LiveCodeBench 65.0 294 51th
IFEval 82.5 259 57th
TruthfulQA 77.6 264 56th
HellaSwag 83.1 315 48th
MMMU 70.2 289 52th
Arena Elo 1374.8 293 51th

FAQ

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

DBRX Instruct scores 58.7 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does DBRX Instruct rank on SWE-bench Verified?

It ranks #346 of 600 models, in the 42nd percentile. The leader is GPT-5.2 Pro at 81.7.

Is DBRX Instruct 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 Instruct cost?

DBRX Instruct costs $3.21 per million input tokens and $15.67 per million output tokens.

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