Noometry

Model comparison

DBRX vs GPT-5.6 Terra

GPT-5.6 Terra is the stronger model overall, scoring 59.1 to 29.0 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.0

Rank #307 Confirmed

GPT-5.6 Terra OpenAI

59.1

Rank #15 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 81.5 to 22.3.
  • 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 Index29.059.1
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: 32.3 (#262), GPT-5.6 Terra: 57.1 (#16)

BenchmarkDBRXGPT-5.6 Terra
LMArena Coding11321484
DeepSWE—69.6%
FrontierCode—41.3%
CursorBench—41.3%
LMArena WebDev—1520
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: 40.2 (#23)

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: 20.5 (#218), GPT-5.6 Terra: 60.6 (#19)

BenchmarkDBRXGPT-5.6 Terra
LMArena Hard Prompts11131467
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—159.31

Math GPT-5.6 Terra leads

DBRX: 22.3 (#265), GPT-5.6 Terra: 81.5 (#10)

BenchmarkDBRXGPT-5.6 Terra
LMArena Math11451463
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 (#289), GPT-5.6 Terra: 61.3 (#27)

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

Multimodal Not comparable

DBRX: —, GPT-5.6 Terra: 47.5 (#10)

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: 29.4 (#263), GPT-5.6 Terra: 54.5 (#42)

BenchmarkDBRXGPT-5.6 Terra
LMArena Non-English10711439
LMArena Chinese10681514
LMArena French10951476
LMArena German10571462
LMArena Japanese9901446
LMArena Korean9931420
LMArena Russian10781450
LMArena Spanish10641455

Instruction Following GPT-5.6 Terra leads

DBRX: 57.7 (#265), GPT-5.6 Terra: 76.6 (#38)

BenchmarkDBRXGPT-5.6 Terra
LMArena Instruction Following11121453

Long Context GPT-5.6 Terra leads

DBRX: 33.7 (#253), GPT-5.6 Terra: 44.4 (#64)

BenchmarkDBRXGPT-5.6 Terra
LMArena Longer Query11121452

Writing & Preference GPT-5.6 Terra leads

DBRX: 33.7 (#271), GPT-5.6 Terra: 70.4 (#21)

BenchmarkDBRXGPT-5.6 Terra
LMArena Text11191446
LMArena Creative Writing11041411
LMArena Multi-Turn11111451
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 59.1 to 29.0 on the Noometry Index.

Is DBRX or GPT-5.6 Terra better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.1 versus 32.3 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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