Noometry

Model comparison

DBRX vs GPT-5.6 Terra

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-5.6 Terra in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 24.3.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 93.3% for GPT-5.6 Terra.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRXGPT-5.6 Terra
ProviderDatabricksOpenAI
Noometry Index29.459.2
Released2024-03-272026-07-09
WeightsOpenProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$2
Output $ / M tokens—$12
Results tracked2152

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Category by category

Coding GPT-5.6 Terra leads

DBRX: 32.9 (#266), GPT-5.6 Terra: 57.7 (#19)

BenchmarkDBRXGPT-5.6 Terra
LMArena Coding11321484
DeepSWE—69.6%
FrontierCode—41.3%
CursorBench—41.3%
LMArena WebDev—1522
SciCode—55%
WeirdML—78.3%
ALE-Bench—1,951
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-5.6 Terra: 40.1 (#25)

BenchmarkDBRXGPT-5.6 Terra
APEX-Agents—58.2%
BALROG—53.2%
GDP.pdf—24.7%
Vending-Bench 2—7,343

Reasoning GPT-5.6 Terra leads

DBRX: 21.4 (#222), GPT-5.6 Terra: 60.7 (#21)

BenchmarkDBRXGPT-5.6 Terra
LMArena Hard Prompts11131468
ARC-AGI-2—83.9%
SimpleBench—48.9%
Kagi LLM Benchmark—51.3%
NYT Connections (extended)—78.4%
ARC-AGI-1—96.5%
CritPt—30%
Chess Puzzles—54%
Mystery Game Puzzles—35%
DTBench—93.3%
LMCA—55%
Surface Evolver Bench—83.8%
Epoch Capabilities Index—159.62

Math GPT-5.6 Terra leads

DBRX: 24.3 (#269), GPT-5.6 Terra: 81.6 (#12)

BenchmarkDBRXGPT-5.6 Terra
LMArena Math11451466
FrontierMath (Tiers 1-3)—86%
FrontierMath Tier 4—70.7%
OTIS Mock AIME 2024-2025—99.7%
ProofBench—74%
MATH Level 511.7%—

Knowledge GPT-5.6 Terra leads

DBRX: 14.9 (#294), GPT-5.6 Terra: 61.2 (#30)

BenchmarkDBRXGPT-5.6 Terra
GPQA Diamond32.9%93.3%
LMArena Expert10761492
SimpleQA Verified—43.2%

Multimodal Not comparable

DBRX: —, GPT-5.6 Terra: 47.3 (#11)

BenchmarkDBRXGPT-5.6 Terra
LMArena Vision—1271
Blueprint-Bench 2—30.8%
Furniture Assembly—54.2%
LMArena Document—1472

Multilingual GPT-5.6 Terra leads

DBRX: 29.3 (#268), GPT-5.6 Terra: 54.4 (#44)

BenchmarkDBRXGPT-5.6 Terra
LMArena Non-English10711439
LMArena Chinese10681513
LMArena French10961471
LMArena German10571460
LMArena Japanese9901457
LMArena Korean9931425
LMArena Russian10781450
LMArena Spanish10641448

Instruction Following GPT-5.6 Terra leads

DBRX: 57.5 (#270), GPT-5.6 Terra: 76.4 (#40)

BenchmarkDBRXGPT-5.6 Terra
LMArena Instruction Following11121454

Long Context GPT-5.6 Terra leads

DBRX: 33.7 (#258), GPT-5.6 Terra: 44.4 (#68)

BenchmarkDBRXGPT-5.6 Terra
LMArena Longer Query11121451

Writing & Preference GPT-5.6 Terra leads

DBRX: 33.6 (#275), GPT-5.6 Terra: 70.2 (#23)

BenchmarkDBRXGPT-5.6 Terra
LMArena Text11191447
LMArena Creative Writing11041410
LMArena Multi-Turn11111449
EQ-Bench Creative Writing—1855
EQ-Bench 4—1234

Frequently asked questions

Is DBRX better than GPT-5.6 Terra?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 29.4 on the Noometry Index.

Is DBRX or GPT-5.6 Terra better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 32.9 in the Noometry coding category.

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

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

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