Noometry

Model comparison

DBRX vs gpt-oss-120b

gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

gpt-oss-120b OpenAI

36.3

Rank #217 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 2 categories and gpt-oss-120b in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where gpt-oss-120b leads 52.5 to 24.3.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 75.8% for gpt-oss-120b.

Side by side

DBRXgpt-oss-120b
ProviderDatabricksOpenAI
Noometry Index29.436.3
Released2024-03-272025-08-05
WeightsOpenOpen
Context window—131K
Max output—41K
Input $ / M tokens—$0.037
Output $ / M tokens—$0.17
Results tracked2148

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Category by category

Coding Too close to call

DBRX: 32.9 (#266), gpt-oss-120b: 33.5 (#256)

BenchmarkDBRXgpt-oss-120b
LMArena Coding11321380
SWE-bench Verified (bash only)—26%
Aider Polyglot—41.8%
SciCode—36%
WeirdML—48.2%
ALE-Bench—575.62
AlgoTune—1.41
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, gpt-oss-120b: 12.2 (#153)

BenchmarkDBRXgpt-oss-120b
Terminal-Bench—18.7%
APEX-Agents—4.4%
METR Time Horizons—56.6%
Vending-Bench 2—-21.53

Reasoning DBRX leads

DBRX: 21.4 (#222), gpt-oss-120b: 20.0 (#245)

BenchmarkDBRXgpt-oss-120b
LMArena Hard Prompts11131364
SimpleBench—22.1%
Kagi LLM Benchmark—58.6%
CritPt—1.1%
Chess Puzzles—20%
Mystery Game Puzzles—2%
DTBench—76.3%
LMCA—22.1%
Surface Evolver Bench—25%
Epoch Capabilities Index—139.93

Math gpt-oss-120b leads

DBRX: 24.3 (#269), gpt-oss-120b: 52.5 (#50)

BenchmarkDBRXgpt-oss-120b
LMArena Math11451389
OTIS Mock AIME 2024-2025—88.9%
Omni-MATH—68.8%
MATH Level 511.7%—

Knowledge gpt-oss-120b leads

DBRX: 14.9 (#294), gpt-oss-120b: 42.4 (#96)

BenchmarkDBRXgpt-oss-120b
GPQA Diamond32.9%75.8%
LMArena Expert10761356
MMLU-Pro—79.5%
Confabulations—15.7%
Vectara Hallucination Rate—14.2%
GPQA (HELM)—68.4%

Multilingual gpt-oss-120b leads

DBRX: 29.3 (#268), gpt-oss-120b: 48.0 (#147)

BenchmarkDBRXgpt-oss-120b
LMArena Non-English10711351
LMArena Chinese10681385
LMArena French10961369
LMArena German10571353
LMArena Japanese9901331
LMArena Korean9931282
LMArena Russian10781343
LMArena Spanish10641389

Instruction Following gpt-oss-120b leads

DBRX: 57.5 (#270), gpt-oss-120b: 69.3 (#173)

BenchmarkDBRXgpt-oss-120b
LMArena Instruction Following11121318
IFEval—83.6%

Long Context DBRX leads

DBRX: 33.7 (#258), gpt-oss-120b: 31.4 (#278)

BenchmarkDBRXgpt-oss-120b
LMArena Longer Query11121319
Fiction.LiveBench—44.4%

Writing & Preference gpt-oss-120b leads

DBRX: 33.6 (#275), gpt-oss-120b: 46.5 (#217)

BenchmarkDBRXgpt-oss-120b
LMArena Text11191365
LMArena Creative Writing11041275
LMArena Multi-Turn11111340
Short-Story Creative Writing—77.1%
EQ-Bench Creative Writing—961
WildBench—84.5%

Frequently asked questions

Is DBRX better than gpt-oss-120b?

gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.4 on the Noometry Index.

Is DBRX or gpt-oss-120b better for coding?

They score almost the same on coding (32.9 vs 33.5); test both on your own repository before choosing.

How many benchmarks do DBRX and gpt-oss-120b share?

18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and gpt-oss-120b has 48.

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