Model comparison

DBRX vs GPT-5 Nano

GPT-5 Nano is the stronger model overall, scoring 33.5 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-5 Nano OpenAI

33.5

Rank #241 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 2 categories and GPT-5 Nano in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5 Nano leads 35.9 to 14.9.
  • The biggest single-benchmark swing is MATH Level 5: 11.7% for DBRX and 95.2% for GPT-5 Nano.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRX and GPT-5 Nano specifications
DBRXGPT-5 Nano
ProviderDatabricksOpenAI
Noometry Index29.433.5
Released2024-03-272025-08-07
WeightsOpenProprietary
Context window—400K
Max output—128K
Input $ / M tokens—$0.05
Output $ / M tokens—$0.40
Results tracked2149

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Category by category

Coding Too close to call

DBRX: 32.9 (#266), GPT-5 Nano: 33.6 (#254)

Coding benchmarks
BenchmarkDBRXGPT-5 Nano
LMArena Coding11321351
SWE-bench Verified (bash only)—34.8%
WeirdML—38.1%
ALE-Bench—718.67
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-5 Nano: 25.8 (#106)

Agentic & Tool Use benchmarks
BenchmarkDBRXGPT-5 Nano
Terminal-Bench—21.8%
Berkeley Function Calling Leaderboard—51.5%

Reasoning DBRX leads

DBRX: 21.4 (#222), GPT-5 Nano: 16.3 (#306)

Reasoning benchmarks
BenchmarkDBRXGPT-5 Nano
LMArena Hard Prompts11131328
ARC-AGI-2—2.6%
Kagi LLM Benchmark—62.2%
ARC-AGI-1—20.7%
Chess Puzzles—27%
Mystery Game Puzzles—9%
DTBench—62.7%
LMCA—7.9%
Epoch Capabilities Index—139.38
ForecastBench—59.1

Math GPT-5 Nano leads

DBRX: 24.3 (#269), GPT-5 Nano: 29.4 (#241)

Knowledge GPT-5 Nano leads

DBRX: 14.9 (#294), GPT-5 Nano: 35.9 (#178)

Knowledge benchmarks
BenchmarkDBRXGPT-5 Nano
GPQA Diamond32.9%69.4%
LMArena Expert10761321
SimpleQA Verified—11.7%
MMLU-Pro—77.8%
Vectara Hallucination Rate—10.5%
GPQA (HELM)—67.9%

Multimodal Not comparable

DBRX: —, GPT-5 Nano: 31.3 (#108)

Multimodal benchmarks
BenchmarkDBRXGPT-5 Nano
LMArena Vision—1159
VPCT—37.2%

Multilingual GPT-5 Nano leads

DBRX: 29.3 (#268), GPT-5 Nano: 45.3 (#172)

Multilingual benchmarks
BenchmarkDBRXGPT-5 Nano
LMArena Non-English10711313
LMArena Chinese10681356
LMArena German10571327
LMArena Japanese9901226
LMArena Korean9931269
LMArena Russian10781296
LMArena Spanish10641360
LMArena French1096—

Instruction Following GPT-5 Nano leads

DBRX: 57.5 (#270), GPT-5 Nano: 75.0 (#79)

Instruction Following benchmarks
BenchmarkDBRXGPT-5 Nano
LMArena Instruction Following11121306
IFEval—93.2%

Long Context DBRX leads

DBRX: 33.7 (#258), GPT-5 Nano: 31.3 (#281)

Long Context benchmarks
BenchmarkDBRXGPT-5 Nano
LMArena Longer Query11121312
Fiction.LiveBench—44.4%

Writing & Preference GPT-5 Nano leads

DBRX: 33.6 (#275), GPT-5 Nano: 39.1 (#249)

Writing & Preference benchmarks
BenchmarkDBRXGPT-5 Nano
LMArena Text11191320
LMArena Creative Writing11041249
LMArena Multi-Turn11111311
EQ-Bench Creative Writing—705
WildBench—80.6%

Frequently asked questions

Is DBRX better than GPT-5 Nano?

GPT-5 Nano is the stronger model overall, scoring 33.5 to 29.4 on the Noometry Index.

Is DBRX or GPT-5 Nano better for coding?

They score almost the same on coding (32.9 vs 33.6); test both on your own repository before choosing.

How many benchmarks do DBRX and GPT-5 Nano share?

18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-5 Nano has 49.

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