Noometry

Model comparison

DBRX vs DeepSeek-V3

DeepSeek-V3 is the stronger model overall, scoring 39.5 to 29.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

DeepSeek-V3 DeepSeek

39.5

Rank #166 Confirmed

Summary

  • They share 21 benchmarks with published results for both. DBRX scores higher in 1 category and DeepSeek-V3 in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where DeepSeek-V3 leads 57.4 to 33.6.
  • The biggest single-benchmark swing is MATH Level 5: 11.7% for DBRX and 75.5% for DeepSeek-V3.

Side by side

DBRXDeepSeek-V3
ProviderDatabricksDeepSeek
Noometry Index29.439.5
Released2024-03-272024-12-26
WeightsOpenOpen
Context window—164K
Max output—164K
Input $ / M tokens—$0.24
Output $ / M tokens—$0.90
Results tracked2160

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Category by category

Coding DeepSeek-V3 leads

DBRX: 32.9 (#266), DeepSeek-V3: 42.3 (#106)

BenchmarkDBRXDeepSeek-V3
LMArena Coding11321368
HumanEval+70.1%86.6%
MBPP+55.8%73%
Aider Polyglot—55.1%
SciCode—35.8%
WeirdML—36.1%
BigCodeBench Instruct—50%
LiveBench Coding—70.9%
BigCodeBench Complete—62.2%

Agentic & Tool Use Not comparable

DBRX: —, DeepSeek-V3: —

BenchmarkDBRXDeepSeek-V3
METR Time Horizons—49.6%

Reasoning Too close to call

DBRX: 21.4 (#222), DeepSeek-V3: 20.5 (#236)

BenchmarkDBRXDeepSeek-V3
LMArena Hard Prompts11131365
SimpleBench—27.2%
Kagi LLM Benchmark—52.3%
CritPt—0%
LiveBench Reasoning—65.8%
DTBench—64.8%
LiveBench Data Analysis—60.9%
LMCA—15.5%
BIG-Bench Hard—87.5%
Epoch Capabilities Index—135.94
ForecastBench—59.1
HellaSwag—88.9%
LiveBench—66.9%
PIQA—84.7%
WinoGrande—85.2%

Math DeepSeek-V3 leads

DBRX: 24.3 (#269), DeepSeek-V3: 32.1 (#219)

BenchmarkDBRXDeepSeek-V3
LMArena Math11451373
MATH Level 511.7%75.5%
OTIS Mock AIME 2024-2025—37.8%
Omni-MATH—40.3%
LiveBench Math—73.5%
FrontierMath (Feb 2025 set)—1.7%

Knowledge DeepSeek-V3 leads

DBRX: 14.9 (#294), DeepSeek-V3: 37.5 (#155)

BenchmarkDBRXDeepSeek-V3
GPQA Diamond32.9%67.6%
LMArena Expert10761351
MMLU-Pro—72.3%
Confabulations—26.1%
Vectara Hallucination Rate—6.1%
GPQA (HELM)—53.8%
ARC (AI2) Challenge—95.3%
MMLU—87.2%
TriviaQA—82.9%

Multilingual DeepSeek-V3 leads

DBRX: 29.3 (#268), DeepSeek-V3: 48.5 (#143)

BenchmarkDBRXDeepSeek-V3
LMArena Non-English10711358
LMArena Chinese10681391
LMArena French10961385
LMArena German10571374
LMArena Japanese9901333
LMArena Korean9931319
LMArena Russian10781373
LMArena Spanish10641358

Instruction Following DeepSeek-V3 leads

DBRX: 57.5 (#270), DeepSeek-V3: 72.8 (#130)

BenchmarkDBRXDeepSeek-V3
LMArena Instruction Following11121345
LiveBench Instruction Following—81.5%
IFEval—83.2%

Long Context Too close to call

DBRX: 33.7 (#258), DeepSeek-V3: 34.0 (#253)

BenchmarkDBRXDeepSeek-V3
LMArena Longer Query11121352
Fiction.LiveBench—50%

Writing & Preference DeepSeek-V3 leads

DBRX: 33.6 (#275), DeepSeek-V3: 57.4 (#130)

BenchmarkDBRXDeepSeek-V3
LMArena Text11191375
LMArena Creative Writing11041364
LMArena Multi-Turn11111389
Short-Story Creative Writing—77%
EQ-Bench Creative Writing—1472
WildBench—83%
LiveBench Language—49.1%

Frequently asked questions

Is DBRX better than DeepSeek-V3?

DeepSeek-V3 is the stronger model overall, scoring 39.5 to 29.4 on the Noometry Index.

Is DBRX or DeepSeek-V3 better for coding?

DeepSeek-V3 scores higher on coding benchmarks: 42.3 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and DeepSeek-V3 share?

21 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and DeepSeek-V3 has 60.

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