Noometry

Model comparison

DBRX vs GPT-5.6 Luna

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-5.6 Luna OpenAI

54.6

Rank #30 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-5.6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 24.3.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 91.6% for GPT-5.6 Luna.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRXGPT-5.6 Luna
ProviderDatabricksOpenAI
Noometry Index29.454.6
Released2024-03-272026-07-09
WeightsOpenProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$0.20
Output $ / M tokens—$1.20
Results tracked2152

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Category by category

Coding GPT-5.6 Luna leads

DBRX: 32.9 (#266), GPT-5.6 Luna: 54.5 (#28)

BenchmarkDBRXGPT-5.6 Luna
LMArena Coding11321466
DeepSWE—67.2%
FrontierCode—39.8%
CursorBench—35.9%
LMArena WebDev—1519
SciCode—53.6%
WeirdML—60.9%
ALE-Bench—1,667
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-5.6 Luna: 34.4 (#45)

BenchmarkDBRXGPT-5.6 Luna
APEX-Agents—43%
BALROG—45.6%
GDP.pdf—22.7%
Vending-Bench 2—4,095

Reasoning GPT-5.6 Luna leads

DBRX: 21.4 (#222), GPT-5.6 Luna: 47.6 (#43)

BenchmarkDBRXGPT-5.6 Luna
LMArena Hard Prompts11131451
ARC-AGI-2—59.5%
SimpleBench—46.8%
Kagi LLM Benchmark—49.1%
NYT Connections (extended)—69.4%
ARC-AGI-1—88%
CritPt—20.6%
Chess Puzzles—40%
Mystery Game Puzzles—21%
DTBench—89.1%
LMCA—48.5%
Surface Evolver Bench—61.9%
Epoch Capabilities Index—156.39

Math GPT-5.6 Luna leads

DBRX: 24.3 (#269), GPT-5.6 Luna: 77.7 (#14)

BenchmarkDBRXGPT-5.6 Luna
LMArena Math11451458
FrontierMath (Tiers 1-3)—82.1%
FrontierMath Tier 4—61%
OTIS Mock AIME 2024-2025—98.3%
ProofBench—60%
MATH Level 511.7%—

Knowledge GPT-5.6 Luna leads

DBRX: 14.9 (#294), GPT-5.6 Luna: 58.5 (#34)

BenchmarkDBRXGPT-5.6 Luna
GPQA Diamond32.9%91.6%
LMArena Expert10761478
SimpleQA Verified—41%

Multimodal Not comparable

DBRX: —, GPT-5.6 Luna: 42.7 (#28)

BenchmarkDBRXGPT-5.6 Luna
LMArena Vision—1258
Blueprint-Bench 2—22.6%
Furniture Assembly—42.5%
LMArena Document—1457

Multilingual GPT-5.6 Luna leads

DBRX: 29.3 (#268), GPT-5.6 Luna: 52.8 (#78)

BenchmarkDBRXGPT-5.6 Luna
LMArena Non-English10711417
LMArena Chinese10681470
LMArena French10961456
LMArena German10571454
LMArena Japanese9901411
LMArena Korean9931415
LMArena Russian10781428
LMArena Spanish10641448

Instruction Following GPT-5.6 Luna leads

DBRX: 57.5 (#270), GPT-5.6 Luna: 75.6 (#57)

BenchmarkDBRXGPT-5.6 Luna
LMArena Instruction Following11121437

Long Context GPT-5.6 Luna leads

DBRX: 33.7 (#258), GPT-5.6 Luna: 43.9 (#82)

BenchmarkDBRXGPT-5.6 Luna
LMArena Longer Query11121436

Writing & Preference GPT-5.6 Luna leads

DBRX: 33.6 (#275), GPT-5.6 Luna: 68.0 (#29)

BenchmarkDBRXGPT-5.6 Luna
LMArena Text11191431
LMArena Creative Writing11041396
LMArena Multi-Turn11111434
EQ-Bench Creative Writing—1829
EQ-Bench 4—1156

Frequently asked questions

Is DBRX better than GPT-5.6 Luna?

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 29.4 on the Noometry Index.

Is DBRX or GPT-5.6 Luna better for coding?

GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and GPT-5.6 Luna share?

18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-5.6 Luna has 52.

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