Noometry

Model comparison

DBRX vs GPT-4.1 mini

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DBRX scores higher in 4 categories and GPT-4.1 mini in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 14.9.
  • The biggest single-benchmark swing is MATH Level 5: 11.7% for DBRX and 87.3% for GPT-4.1 mini.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRXGPT-4.1 mini
ProviderDatabricksOpenAI
Noometry Index29.433.6
Released2024-03-272025-04-14
WeightsOpenProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$0.40
Output $ / M tokens—$1.60
Results tracked2147

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Category by category

Coding DBRX leads

DBRX: 32.9 (#266), GPT-4.1 mini: 30.6 (#293)

BenchmarkDBRXGPT-4.1 mini
LMArena Coding11321367
SWE-bench Verified (bash only)—23.9%
Aider Polyglot—32.4%
SciCode—40.4%
WeirdML—37.6%
BigCodeBench Instruct—48.9%
CadEval—16%
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-4.1 mini: 33.3 (#55)

BenchmarkDBRXGPT-4.1 mini
Berkeley Function Calling Leaderboard—50.5%

Reasoning DBRX leads

DBRX: 21.4 (#222), GPT-4.1 mini: 10.8 (#340)

BenchmarkDBRXGPT-4.1 mini
LMArena Hard Prompts11131349
ARC-AGI-2—0%
Kagi LLM Benchmark—48.6%
ARC-AGI-1—3.5%
CritPt—0%
Chess Puzzles—7%
Mystery Game Puzzles—7%
DTBench—68.8%
LMCA—21.1%
Epoch Capabilities Index—135.01

Math Too close to call

DBRX: 24.3 (#269), GPT-4.1 mini: 24.1 (#270)

BenchmarkDBRXGPT-4.1 mini
LMArena Math11451343
MATH Level 511.7%87.3%
FrontierMath (Tiers 1-3)—6.7%
OTIS Mock AIME 2024-2025—44.7%
Omni-MATH—49.1%
FrontierMath (Feb 2025 set)—4.5%

Knowledge GPT-4.1 mini leads

DBRX: 14.9 (#294), GPT-4.1 mini: 34.7 (#194)

BenchmarkDBRXGPT-4.1 mini
GPQA Diamond32.9%65.8%
LMArena Expert10761338
SimpleQA Verified—12.7%
MMLU-Pro—78.3%
GPQA (HELM)—61.4%

Multimodal Not comparable

DBRX: —, GPT-4.1 mini: 35.8 (#82)

BenchmarkDBRXGPT-4.1 mini
LMArena Vision—1181

Multilingual GPT-4.1 mini leads

DBRX: 29.3 (#268), GPT-4.1 mini: 45.7 (#166)

BenchmarkDBRXGPT-4.1 mini
LMArena Non-English10711318
LMArena Chinese10681329
LMArena French10961358
LMArena German10571351
LMArena Japanese9901290
LMArena Korean9931298
LMArena Russian10781324
LMArena Spanish10641319

Instruction Following GPT-4.1 mini leads

DBRX: 57.5 (#270), GPT-4.1 mini: 73.7 (#118)

BenchmarkDBRXGPT-4.1 mini
LMArena Instruction Following11121333
IFEval—90.4%

Long Context DBRX leads

DBRX: 33.7 (#258), GPT-4.1 mini: 31.8 (#275)

BenchmarkDBRXGPT-4.1 mini
LMArena Longer Query11121344
Fiction.LiveBench—44.4%

Writing & Preference GPT-4.1 mini leads

DBRX: 33.6 (#275), GPT-4.1 mini: 48.6 (#199)

BenchmarkDBRXGPT-4.1 mini
LMArena Text11191340
LMArena Creative Writing11041300
LMArena Multi-Turn11111354
EQ-Bench Creative Writing—1147
WildBench—83.8%

Frequently asked questions

Is DBRX better than GPT-4.1 mini?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.4 on the Noometry Index.

Is DBRX or GPT-4.1 mini better for coding?

DBRX scores higher on coding benchmarks: 32.9 versus 30.6 in the Noometry coding category.

How many benchmarks do DBRX and GPT-4.1 mini share?

19 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-4.1 mini has 47.

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