Noometry

Model comparison

DBRX vs GPT-4.1

GPT-4.1 is the stronger model overall, scoring 35.9 to 29.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DBRX scores higher in 2 categories and GPT-4.1 in 6 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-4.1 leads 57.6 to 33.6.
  • The biggest single-benchmark swing is MATH Level 5: 11.7% for DBRX and 83% for GPT-4.1.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRXGPT-4.1
ProviderDatabricksOpenAI
Noometry Index29.435.9
Released2024-03-272025-04-14
WeightsOpenProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$2
Output $ / M tokens—$8
Results tracked2152

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Category by category

Coding GPT-4.1 leads

DBRX: 32.9 (#266), GPT-4.1: 34.4 (#238)

BenchmarkDBRXGPT-4.1
LMArena Coding11321391
SWE-bench Verified—48.5%
SWE-bench Verified (bash only)—39.6%
Aider Polyglot—52.4%
WeirdML—39%
CadEval—42%
ALE-Bench—558.1
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-4.1: 34.7 (#43)

BenchmarkDBRXGPT-4.1
Berkeley Function Calling Leaderboard—54%

Reasoning DBRX leads

DBRX: 21.4 (#222), GPT-4.1: 11.7 (#339)

BenchmarkDBRXGPT-4.1
LMArena Hard Prompts11131384
ARC-AGI-2—0.4%
SimpleBench—27%
Kagi LLM Benchmark—52.3%
ARC-AGI-1—5.5%
Chess Puzzles—6%
EnigmaEval—2.2%
DTBench—68.3%
LMCA—25.6%
Epoch Capabilities Index—136.78
ForecastBench—61.5

Math DBRX leads

DBRX: 24.3 (#269), GPT-4.1: 22.3 (#280)

BenchmarkDBRXGPT-4.1
LMArena Math11451370
MATH Level 511.7%83%
FrontierMath (Tiers 1-3)—6%
OTIS Mock AIME 2024-2025—38.3%
Omni-MATH—47.1%
FrontierMath (Feb 2025 set)—5.5%
FrontierMath Tier 4 (v1)—0%

Knowledge GPT-4.1 leads

DBRX: 14.9 (#294), GPT-4.1: 37.1 (#160)

BenchmarkDBRXGPT-4.1
GPQA Diamond32.9%66.9%
LMArena Expert10761364
Humanity's Last Exam—5.4%
SimpleQA Verified—31.1%
MMLU-Pro—81.1%
Vectara Hallucination Rate—5.6%
GPQA (HELM)—65.9%

Multimodal Not comparable

DBRX: —, GPT-4.1: 38.2 (#67)

BenchmarkDBRXGPT-4.1
LMArena Vision—1211
GeoBench—72%

Multilingual GPT-4.1 leads

DBRX: 29.3 (#268), GPT-4.1: 49.4 (#133)

BenchmarkDBRXGPT-4.1
LMArena Non-English10711370
LMArena Chinese10681382
LMArena French10961382
LMArena German10571381
LMArena Japanese9901319
LMArena Korean9931339
LMArena Russian10781377
LMArena Spanish10641376

Instruction Following GPT-4.1 leads

DBRX: 57.5 (#270), GPT-4.1: 71.3 (#153)

BenchmarkDBRXGPT-4.1
LMArena Instruction Following11121367
IFEval—83.8%

Long Context GPT-4.1 leads

DBRX: 33.7 (#258), GPT-4.1: 40.0 (#163)

BenchmarkDBRXGPT-4.1
LMArena Longer Query11121385
Fiction.LiveBench—63.9%

Writing & Preference GPT-4.1 leads

DBRX: 33.6 (#275), GPT-4.1: 57.6 (#125)

BenchmarkDBRXGPT-4.1
LMArena Text11191383
LMArena Creative Writing11041363
LMArena Multi-Turn11111398
EQ-Bench Creative Writing—1420
WildBench—85.4%

Frequently asked questions

Is DBRX better than GPT-4.1?

GPT-4.1 is the stronger model overall, scoring 35.9 to 29.4 on the Noometry Index.

Is DBRX or GPT-4.1 better for coding?

GPT-4.1 scores higher on coding benchmarks: 34.4 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and GPT-4.1 share?

19 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-4.1 has 52.

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