Noometry

Model comparison

DBRX vs GPT-5

GPT-5 is the stronger model overall, scoring 50.9 to 29.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-5 OpenAI

50.9

Rank #45 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-5 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5 leads 56.6 to 14.9.
  • The biggest single-benchmark swing is MATH Level 5: 11.7% for DBRX and 98.1% for GPT-5.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRXGPT-5
ProviderDatabricksOpenAI
Noometry Index29.450.9
Released2024-03-272025-08-07
WeightsOpenProprietary
Context window—400K
Max output—128K
Input $ / M tokens—$1.25
Output $ / M tokens—$10
Results tracked2169

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Category by category

Coding GPT-5 leads

DBRX: 32.9 (#266), GPT-5: 50.3 (#47)

BenchmarkDBRXGPT-5
LMArena Coding11321436
SWE-bench Verified—73.6%
SWE-bench Verified (bash only)—65%
Aider Polyglot—88%
LMArena WebDev—1418
SciCode—42.9%
GSO—6.9%
WeirdML—60.7%
ALE-Bench—1,162
AlgoTune—1.67
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-5: 33.1 (#56)

BenchmarkDBRXGPT-5
Terminal-Bench—49.6%
GDPval—34.8%
Remote Labor Index—1.7%
DeepResearch Bench—49.6%
BALROG—32.8%
LMArena Search—1133
METR Time Horizons—69.6%

Reasoning GPT-5 leads

DBRX: 21.4 (#222), GPT-5: 38.3 (#64)

BenchmarkDBRXGPT-5
LMArena Hard Prompts11131416
ARC-AGI-2—9.9%
SimpleBench—56.7%
Kagi LLM Benchmark—72.7%
ARC-AGI-1—65.7%
CritPt—12.6%
Chess Puzzles—37%
EnigmaEval—10.5%
EBR-Bench—12.7%
Mystery Game Puzzles—23%
DTBench—90.7%
LMCA—40%
Epoch Capabilities Index—150
ForecastBench—61.4

Math GPT-5 leads

DBRX: 24.3 (#269), GPT-5: 55.0 (#44)

BenchmarkDBRXGPT-5
LMArena Math11451407
MATH Level 511.7%98.1%
FrontierMath (Tiers 1-3)—55.4%
FrontierMath Tier 4—22%
OTIS Mock AIME 2024-2025—91.4%
ProofBench—18%
Omni-MATH—64.7%
FrontierMath (Feb 2025 set)—32.4%
FrontierMath Tier 4 (v1)—12.5%

Knowledge GPT-5 leads

DBRX: 14.9 (#294), GPT-5: 56.6 (#43)

BenchmarkDBRXGPT-5
GPQA Diamond32.9%86.2%
LMArena Expert10761419
Humanity's Last Exam—25.3%
SimpleQA Verified—50.1%
MMLU-Pro—86.3%
Confabulations—10.3%
Vectara Hallucination Rate—14.7%
GPQA (HELM)—79.2%

Multimodal Not comparable

DBRX: —, GPT-5: 46.8 (#13)

BenchmarkDBRXGPT-5
LMArena Vision—1232
GeoBench—81%
VPCT—66%

Multilingual GPT-5 leads

DBRX: 29.3 (#268), GPT-5: 51.4 (#110)

BenchmarkDBRXGPT-5
LMArena Non-English10711397
LMArena Chinese10681422
LMArena French10961410
LMArena German10571416
LMArena Japanese9901409
LMArena Korean9931360
LMArena Russian10781406
LMArena Spanish10641399

Instruction Following GPT-5 leads

DBRX: 57.5 (#270), GPT-5: 73.8 (#113)

BenchmarkDBRXGPT-5
LMArena Instruction Following11121388
IFEval—87.5%

Long Context GPT-5 leads

DBRX: 33.7 (#258), GPT-5: 69.5 (#2)

BenchmarkDBRXGPT-5
LMArena Longer Query11121399
Fiction.LiveBench—97.2%

Writing & Preference GPT-5 leads

DBRX: 33.6 (#275), GPT-5: 63.4 (#65)

BenchmarkDBRXGPT-5
LMArena Text11191406
LMArena Creative Writing11041365
LMArena Multi-Turn11111426
Short-Story Creative Writing—86%
EQ-Bench Creative Writing—1627
WildBench—85.7%

Frequently asked questions

Is DBRX better than GPT-5?

GPT-5 is the stronger model overall, scoring 50.9 to 29.4 on the Noometry Index.

Is DBRX or GPT-5 better for coding?

GPT-5 scores higher on coding benchmarks: 50.3 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and GPT-5 share?

19 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-5 has 69.

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