Model comparison

DBRX vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 13 benchmarks with published results for both. DBRX scores higher in 0 categories and GPT-6.1 Sol in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 24.3.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 95.4% for GPT-6.1 Sol.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRX and GPT-6.1 Sol specifications
DBRXGPT-6.1 Sol
ProviderDatabricksOpenAI
Noometry Index29.465.6
Released2024-03-272026-09-29
WeightsOpenProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$2
Output $ / M tokens—$10
Results tracked2134

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Category by category

Coding GPT-6.1 Sol leads

DBRX: 32.9 (#266), GPT-6.1 Sol: 63.2 (#8)

Coding benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Coding11321487
DeepSWE—75.2%
FrontierCode—50.2%
LMArena WebDev—1755
SciCode—55.8%
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, GPT-6.1 Sol: 39.6 (#26)

Agentic & Tool Use benchmarks
BenchmarkDBRXGPT-6.1 Sol
APEX-Agents—60%
GDP.pdf—32%

Reasoning GPT-6.1 Sol leads

DBRX: 21.4 (#222), GPT-6.1 Sol: 81.9 (#2)

Reasoning benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Hard Prompts11131466
ARC-AGI-2—94.2%
NYT Connections (extended)—95.5%
ARC-AGI-1—98.5%
CritPt—31.7%
Chess Puzzles—61%
EBR-Bench—54.3%
Mystery Game Puzzles—80%
Epoch Capabilities Index—166.09

Math GPT-6.1 Sol leads

DBRX: 24.3 (#269), GPT-6.1 Sol: 93.7 (#1)

Math benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Math11451464
FrontierMath (Tiers 1-3)—93.7%
FrontierMath Tier 4—100%
OTIS Mock AIME 2024-2025—100%
ProofBench—99%
MATH Level 511.7%—

Knowledge GPT-6.1 Sol leads

DBRX: 14.9 (#294), GPT-6.1 Sol: 71.8 (#4)

Knowledge benchmarks
BenchmarkDBRXGPT-6.1 Sol
GPQA Diamond32.9%95.4%
LMArena Expert10761502
SimpleQA Verified—73.9%

Multimodal Not comparable

DBRX: —, GPT-6.1 Sol: 52.7 (#5)

Multimodal benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Vision—1288
Furniture Assembly—80%

Multilingual GPT-6.1 Sol leads

DBRX: 29.3 (#268), GPT-6.1 Sol: 54.3 (#46)

Multilingual benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Non-English10711438
LMArena Chinese10681477
LMArena Russian10781455
LMArena French1096—
LMArena German1057—
LMArena Japanese990—
LMArena Korean993—
LMArena Spanish1064—

Instruction Following GPT-6.1 Sol leads

DBRX: 57.5 (#270), GPT-6.1 Sol: 77.0 (#29)

Instruction Following benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Instruction Following11121468

Long Context GPT-6.1 Sol leads

DBRX: 33.7 (#258), GPT-6.1 Sol: 44.9 (#54)

Long Context benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Longer Query11121465

Writing & Preference GPT-6.1 Sol leads

DBRX: 33.6 (#275), GPT-6.1 Sol: 63.6 (#63)

Writing & Preference benchmarks
BenchmarkDBRXGPT-6.1 Sol
LMArena Text11191447
LMArena Creative Writing11041432
LMArena Multi-Turn11111449

Frequently asked questions

Is DBRX better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.4 on the Noometry Index.

Is DBRX or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and GPT-6.1 Sol share?

13 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-6.1 Sol has 34.

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