Model comparison

DBRX vs GPT-5.6 Sol

GPT-5.6 Sol is the stronger model overall, scoring 65.0 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-5.6 Sol OpenAI

65.0

Rank #7 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-5.6 Sol in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Sol leads 85.6 to 24.3.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 93.5% for GPT-5.6 Sol.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRX and GPT-5.6 Sol specifications
DBRXGPT-5.6 Sol
ProviderDatabricksOpenAI
Noometry Index29.465.0
Released2024-03-272026-07-09
WeightsOpenProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$4
Output $ / M tokens—$20
Results tracked2165

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Category by category

Coding GPT-5.6 Sol leads

DBRX: 32.9 (#266), GPT-5.6 Sol: 65.1 (#7)

Coding benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Coding11321498
DeepSWE—72.7%
FrontierCode—47.5%
CursorBench—41.7%
LMArena WebDev—1618
FrontierSWE—32.2%
SciCode—57.1%
GSO—76.5%
WeirdML—89.4%
MirrorCode—20%
ALE-Bench—2,177
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-5.6 Sol: 50.3 (#7)

Agentic & Tool Use benchmarks
BenchmarkDBRXGPT-5.6 Sol
APEX-Agents—51.4%
OSWorld 2.0—27.3%
τ²-bench Banking—46.9%
PostTrainBench—36.2%
BALROG—60%
GBAEval—52.6%
GDP.pdf—30.7%
LMArena Search—1257
Vending-Bench 2—9,619

Reasoning GPT-5.6 Sol leads

DBRX: 21.4 (#222), GPT-5.6 Sol: 74.8 (#8)

Reasoning benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Hard Prompts11131484
ARC-AGI-2—92.5%
SimpleBench—71.7%
Kagi LLM Benchmark—67%
NYT Connections (extended)—93.8%
ARC-AGI-1—97.5%
CritPt—32.3%
Chess Puzzles—64%
EnigmaEval—37.1%
EBR-Bench—44.8%
Mystery Game Puzzles—58%
DTBench—96%
LMCA—59.2%
Surface Evolver Bench—93.1%
Bench to the Future 3—0.14
Epoch Capabilities Index—161.66

Math GPT-5.6 Sol leads

DBRX: 24.3 (#269), GPT-5.6 Sol: 85.6 (#9)

Math benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Math11451474
FrontierMath (Tiers 1-3)—89.1%
FrontierMath Tier 4—82.9%
OTIS Mock AIME 2024-2025—100%
ProofBench—83%
MATH Level 511.7%—
FrontierMath Erdős—0%

Knowledge GPT-5.6 Sol leads

DBRX: 14.9 (#294), GPT-5.6 Sol: 64.3 (#18)

Knowledge benchmarks
BenchmarkDBRXGPT-5.6 Sol
GPQA Diamond32.9%93.5%
LMArena Expert10761516
SimpleQA Verified—69.7%
Vectara Hallucination Rate—12.4%

Multimodal Not comparable

DBRX: —, GPT-5.6 Sol: 48.6 (#9)

Multimodal benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Vision—1281
Blueprint-Bench 2—33.6%
Furniture Assembly—56.7%
LMArena Document—1483

Multilingual GPT-5.6 Sol leads

DBRX: 29.3 (#268), GPT-5.6 Sol: 55.3 (#32)

Multilingual benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Non-English10711452
LMArena Chinese10681527
LMArena French10961477
LMArena German10571476
LMArena Japanese9901471
LMArena Korean9931442
LMArena Russian10781468
LMArena Spanish10641441

Instruction Following GPT-5.6 Sol leads

DBRX: 57.5 (#270), GPT-5.6 Sol: 77.7 (#16)

Instruction Following benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Instruction Following11121482

Long Context GPT-5.6 Sol leads

DBRX: 33.7 (#258), GPT-5.6 Sol: 45.4 (#42)

Long Context benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Longer Query11121480

Writing & Preference GPT-5.6 Sol leads

DBRX: 33.6 (#275), GPT-5.6 Sol: 73.3 (#12)

Writing & Preference benchmarks
BenchmarkDBRXGPT-5.6 Sol
LMArena Text11191457
LMArena Creative Writing11041448
LMArena Multi-Turn11111460
EQ-Bench Creative Writing—1972
EQ-Bench 4—1250

Frequently asked questions

Is DBRX better than GPT-5.6 Sol?

GPT-5.6 Sol is the stronger model overall, scoring 65.0 to 29.4 on the Noometry Index.

Is DBRX or GPT-5.6 Sol better for coding?

GPT-5.6 Sol scores higher on coding benchmarks: 65.1 versus 32.9 in the Noometry coding category.

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

18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-5.6 Sol has 65.

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