Model comparison

DBRX vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 29.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 13 benchmarks with published results for both. DBRX scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 14.9.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 90.9% for Qwen3.7 Max.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRX and Qwen3.7 Max specifications
DBRXQwen3.7 Max
ProviderDatabricksAlibaba (Qwen)
Noometry Index29.451.5
Released2024-03-272026-05-19
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2.50
Output $ / M tokens—$7.50
Results tracked2133

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Category by category

Coding Qwen3.7 Max leads

DBRX: 32.9 (#266), Qwen3.7 Max: 50.4 (#45)

Coding benchmarks
BenchmarkDBRXQwen3.7 Max
LMArena Coding11321498
SWE-bench Verified—77.3%
LMArena WebDev—1515
SciCode—48.8%
ALE-Bench—1,189
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, Qwen3.7 Max: 22.1 (#135)

Agentic & Tool Use benchmarks
BenchmarkDBRXQwen3.7 Max
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

DBRX: 21.4 (#222), Qwen3.7 Max: 49.2 (#38)

Reasoning benchmarks
BenchmarkDBRXQwen3.7 Max
LMArena Hard Prompts11131483
SimpleBench—70.4%
NYT Connections (extended)—85.1%
CritPt—13.4%
Chess Puzzles—19%
EBR-Bench—9.5%
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%
Epoch Capabilities Index—153.68

Math Qwen3.7 Max leads

DBRX: 24.3 (#269), Qwen3.7 Max: 62.4 (#32)

Math benchmarks
BenchmarkDBRXQwen3.7 Max
LMArena Math11451490
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%
MATH Level 511.7%—

Knowledge Qwen3.7 Max leads

DBRX: 14.9 (#294), Qwen3.7 Max: 61.6 (#28)

Knowledge benchmarks
BenchmarkDBRXQwen3.7 Max
GPQA Diamond32.9%90.9%
LMArena Expert10761488
SimpleQA Verified—55.8%

Multilingual Qwen3.7 Max leads

DBRX: 29.3 (#268), Qwen3.7 Max: 56.9 (#15)

Multilingual benchmarks
BenchmarkDBRXQwen3.7 Max
LMArena Non-English10711474
LMArena Chinese10681530
LMArena Russian10781484
LMArena French1096—
LMArena German1057—
LMArena Japanese990—
LMArena Korean993—
LMArena Spanish1064—

Instruction Following Qwen3.7 Max leads

DBRX: 57.5 (#270), Qwen3.7 Max: 76.7 (#38)

Instruction Following benchmarks
BenchmarkDBRXQwen3.7 Max
LMArena Instruction Following11121460

Long Context Qwen3.7 Max leads

DBRX: 33.7 (#258), Qwen3.7 Max: 45.4 (#40)

Long Context benchmarks
BenchmarkDBRXQwen3.7 Max
LMArena Longer Query11121482

Writing & Preference Qwen3.7 Max leads

DBRX: 33.6 (#275), Qwen3.7 Max: 65.0 (#54)

Writing & Preference benchmarks
BenchmarkDBRXQwen3.7 Max
LMArena Text11191476
LMArena Creative Writing11041449
LMArena Multi-Turn11111481
EQ-Bench 4—1110

Frequently asked questions

Is DBRX better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 29.4 on the Noometry Index.

Is DBRX or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and Qwen3.7 Max share?

13 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and Qwen3.7 Max has 33.

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