Noometry

Model comparison

DBRX vs GPT-5.2

GPT-5.2 is the stronger model overall, scoring 54.1 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-5.2 OpenAI

54.1

Rank #34 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-5.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5.2 leads 59.3 to 14.9.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 91.4% for GPT-5.2.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRXGPT-5.2
ProviderDatabricksOpenAI
Noometry Index29.454.1
Released2024-03-272025-12-11
WeightsOpenProprietary
Context window—400K
Max output—128K
Input $ / M tokens—$1.75
Output $ / M tokens—$14
Results tracked2167

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Category by category

Coding GPT-5.2 leads

DBRX: 32.9 (#266), GPT-5.2: 51.6 (#37)

BenchmarkDBRXGPT-5.2
LMArena Coding11321447
SWE-bench Verified—73.8%
SWE-bench Verified (bash only)—72.8%
LMArena WebDev—1416
SWE-bench Multilingual—66.7%
GSO—27.4%
WeirdML—72.2%
ALE-Bench—1,294
AlgoTune—2.05
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-5.2: 40.2 (#24)

BenchmarkDBRXGPT-5.2
Terminal-Bench—64.9%
Berkeley Function Calling Leaderboard—55.9%
GDPval—49.7%
Remote Labor Index—2.5%
τ²-bench Airline—83%
τ²-bench Banking—32.2%
τ²-bench Retail—81.6%
τ²-bench Telecom—89.7%
DeepResearch Bench—41.1%
LMArena Search—1207
METR Time Horizons—75.3%
Vending-Bench 2—3,591

Reasoning GPT-5.2 leads

DBRX: 21.4 (#222), GPT-5.2: 50.2 (#35)

BenchmarkDBRXGPT-5.2
LMArena Hard Prompts11131445
ARC-AGI-2—52.9%
SimpleBench—45.8%
Kagi LLM Benchmark—73.3%
NYT Connections (extended)—83.6%
ARC-AGI-1—86.2%
Chess Puzzles—49%
EnigmaEval—10.4%
EBR-Bench—23%
Mystery Game Puzzles—23%
DTBench—90.9%
LMCA—43.9%
Epoch Capabilities Index—153.45
ForecastBench—60.1

Math GPT-5.2 leads

DBRX: 24.3 (#269), GPT-5.2: 60.0 (#38)

BenchmarkDBRXGPT-5.2
LMArena Math11451440
FrontierMath (Tiers 1-3)—67.4%
FrontierMath Tier 4—31.7%
MathArena Final-Answer Competitions—72%
OTIS Mock AIME 2024-2025—96.1%
ProofBench—15%
MATH Level 511.7%—
FrontierMath (Feb 2025 set)—40.7%
FrontierMath Tier 4 (v1)—18.8%

Knowledge GPT-5.2 leads

DBRX: 14.9 (#294), GPT-5.2: 59.3 (#32)

BenchmarkDBRXGPT-5.2
GPQA Diamond32.9%91.4%
LMArena Expert10761445
Humanity's Last Exam—27.8%
SimpleQA Verified—37.1%
Vectara Hallucination Rate—8.4%

Multimodal Not comparable

DBRX: —, GPT-5.2: 51.3 (#7)

BenchmarkDBRXGPT-5.2
LMArena Vision—1268
VPCT—84%
Furniture Assembly—38.3%
LMArena Document—1405

Multilingual GPT-5.2 leads

DBRX: 29.3 (#268), GPT-5.2: 53.4 (#67)

BenchmarkDBRXGPT-5.2
LMArena Non-English10711425
LMArena Chinese10681460
LMArena French10961455
LMArena German10571448
LMArena Japanese9901420
LMArena Korean9931392
LMArena Russian10781440
LMArena Spanish10641433

Instruction Following GPT-5.2 leads

DBRX: 57.5 (#270), GPT-5.2: 74.7 (#89)

BenchmarkDBRXGPT-5.2
LMArena Instruction Following11121417

Long Context GPT-5.2 leads

DBRX: 33.7 (#258), GPT-5.2: 44.0 (#78)

BenchmarkDBRXGPT-5.2
LMArena Longer Query11121428
CL-bench—18.2%

Writing & Preference GPT-5.2 leads

DBRX: 33.6 (#275), GPT-5.2: 66.8 (#32)

BenchmarkDBRXGPT-5.2
LMArena Text11191439
LMArena Creative Writing11041401
LMArena Multi-Turn11111458
EQ-Bench Creative Writing—1703

Frequently asked questions

Is DBRX better than GPT-5.2?

GPT-5.2 is the stronger model overall, scoring 54.1 to 29.4 on the Noometry Index.

Is DBRX or GPT-5.2 better for coding?

GPT-5.2 scores higher on coding benchmarks: 51.6 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and GPT-5.2 share?

18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-5.2 has 67.

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