Model comparison

DBRX vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 29.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

DBRX Databricks

29.4

Rank #311 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DBRX scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 24.3.
  • The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 92.7% for Qwen3.8 Max.
  • DBRX has downloadable open weights; the other is API-only.

Side by side

DBRX and Qwen3.8 Max specifications
DBRXQwen3.8 Max
ProviderDatabricksAlibaba (Qwen)
Noometry Index29.456.8
Released2024-03-272026-08-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked2139

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Category by category

Coding Qwen3.8 Max leads

DBRX: 32.9 (#266), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Coding11321502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%
HumanEval+70.1%—
MBPP+55.8%—

Agentic & Tool Use Not comparable

DBRX: —, Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkDBRXQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

DBRX: 21.4 (#222), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Hard Prompts11131496
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Qwen3.8 Max leads

DBRX: 24.3 (#269), Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Math11451499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%
MATH Level 511.7%—

Knowledge Qwen3.8 Max leads

DBRX: 14.9 (#294), Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkDBRXQwen3.8 Max
GPQA Diamond32.9%92.7%
LMArena Expert10761507
SimpleQA Verified—47.3%

Multimodal Not comparable

DBRX: —, Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

DBRX: 29.3 (#268), Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Non-English10711472
LMArena Chinese10681538
LMArena French10961503
LMArena German10571483
LMArena Japanese9901467
LMArena Korean9931461
LMArena Russian10781481
LMArena Spanish10641492

Instruction Following Qwen3.8 Max leads

DBRX: 57.5 (#270), Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Instruction Following11121479

Long Context Qwen3.8 Max leads

DBRX: 33.7 (#258), Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Longer Query11121489

Writing & Preference Qwen3.8 Max leads

DBRX: 33.6 (#275), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkDBRXQwen3.8 Max
LMArena Text11191483
LMArena Creative Writing11041479
LMArena Multi-Turn11111489

Frequently asked questions

Is DBRX better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 29.4 on the Noometry Index.

Is DBRX or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 32.9 in the Noometry coding category.

How many benchmarks do DBRX and Qwen3.8 Max share?

18 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and Qwen3.8 Max has 39.

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