Noometry

Model comparison

DBRX vs GPT-5.5

GPT-5.5 is the stronger model overall, scoring 63.4 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-5.5 OpenAI

63.4

Rank #9 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-5.5 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.5 leads 81.7 to 24.3.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 94% for GPT-5.5.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRXGPT-5.5
ProviderDatabricksOpenAI
Noometry Index29.463.4
Released2024-03-272026-04-23
WeightsOpenProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$5
Output $ / M tokens—$30
Results tracked2171

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Category by category

Coding GPT-5.5 leads

DBRX: 32.9 (#266), GPT-5.5: 58.2 (#17)

BenchmarkDBRXGPT-5.5
LMArena Coding11321494
SWE-bench Verified—80.6%
DeepSWE—67%
FrontierCode—43%
LMArena WebDev—1513
SciCode—56.1%
GSO—40.2%
WeirdML—84.9%
MirrorCode—10%
ALE-Bench—1,943
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-5.5: 50.7 (#6)

BenchmarkDBRXGPT-5.5
Terminal-Bench—84.7%
APEX-Agents—55.1%
OSWorld 2.0—13%
Remote Labor Index—6.3%
τ²-bench Banking—44.6%
DeepResearch Bench—54%
PostTrainBench—27.2%
ExploitBench—47.4%
GBAEval—53.2%
GDP.pdf—26%
LMArena Search—1242
Vending-Bench 2—7,524

Reasoning GPT-5.5 leads

DBRX: 21.4 (#222), GPT-5.5: 72.8 (#11)

BenchmarkDBRXGPT-5.5
LMArena Hard Prompts11131489
ARC-AGI-2—85%
SimpleBench—69%
Kagi LLM Benchmark—88.8%
NYT Connections (extended)—96.2%
ARC-AGI-1—95%
CritPt—27.1%
Chess Puzzles—54%
EBR-Bench—34.3%
Mystery Game Puzzles—56%
DTBench—96%
LMCA—54.3%
Surface Evolver Bench—88.1%
Bench to the Future 3—0.14
Epoch Capabilities Index—159.1
ForecastBench—60.6

Math GPT-5.5 leads

DBRX: 24.3 (#269), GPT-5.5: 81.7 (#11)

BenchmarkDBRXGPT-5.5
LMArena Math11451486
FrontierMath (Tiers 1-3)—85.3%
FrontierMath Tier 4—72.5%
MathArena Final-Answer Competitions—94.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—50%
MATH Level 511.7%—
FrontierMath (Feb 2025 set)—51.7%
FrontierMath Erdős—0%
FrontierMath Tier 4 (v1)—35.4%

Knowledge GPT-5.5 leads

DBRX: 14.9 (#294), GPT-5.5: 64.4 (#17)

BenchmarkDBRXGPT-5.5
GPQA Diamond32.9%94%
LMArena Expert10761508
SimpleQA Verified—63%
Vectara Hallucination Rate—9.3%

Multimodal Not comparable

DBRX: —, GPT-5.5: 46.9 (#12)

BenchmarkDBRXGPT-5.5
LMArena Vision—1297
Blueprint-Bench 2—36.2%
Furniture Assembly—44.2%
LMArena Document—1486

Multilingual GPT-5.5 leads

DBRX: 29.3 (#268), GPT-5.5: 56.4 (#20)

BenchmarkDBRXGPT-5.5
LMArena Non-English10711467
LMArena Chinese10681533
LMArena French10961486
LMArena German10571480
LMArena Japanese9901498
LMArena Korean9931460
LMArena Russian10781473
LMArena Spanish10641468

Instruction Following GPT-5.5 leads

DBRX: 57.5 (#270), GPT-5.5: 77.5 (#18)

BenchmarkDBRXGPT-5.5
LMArena Instruction Following11121479

Long Context GPT-5.5 leads

DBRX: 33.7 (#258), GPT-5.5: 48.3 (#12)

BenchmarkDBRXGPT-5.5
LMArena Longer Query11121484
CL-bench Life—22.2%

Writing & Preference GPT-5.5 leads

DBRX: 33.6 (#275), GPT-5.5: 72.7 (#13)

BenchmarkDBRXGPT-5.5
LMArena Text11191472
LMArena Creative Writing11041455
LMArena Multi-Turn11111476
EQ-Bench Creative Writing—1844
EQ-Bench 4—1315

Frequently asked questions

Is DBRX better than GPT-5.5?

GPT-5.5 is the stronger model overall, scoring 63.4 to 29.4 on the Noometry Index.

Is DBRX or GPT-5.5 better for coding?

GPT-5.5 scores higher on coding benchmarks: 58.2 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and GPT-5.5 share?

18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-5.5 has 71.

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