Model comparison

Qwen-14B vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Qwen-14B scores higher in 0 categories and Qwen3.8 Max in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 31.2.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

Qwen-14B and Qwen3.8 Max specifications
Qwen-14BQwen3.8 Max
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index31.456.8
Released2023-09-242026-08-02
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked1839

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Category by category

Coding Qwen3.8 Max leads

Qwen-14B: 31.2 (#288), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Coding10711502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%

Agentic & Tool Use Not comparable

Qwen-14B: —, Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkQwen-14BQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

Qwen-14B: 19.6 (#257), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Hard Prompts10271496
Epoch Capabilities Index113.03156.41
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
BIG-Bench Hard55%—
LAMBADA71.1%—
PIQA79.9%—

Math Qwen3.8 Max leads

Qwen-14B: 31.2 (#227), Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Math10681499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%
GSM8K61.3%—

Knowledge Not comparable

Qwen-14B: —, Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkQwen-14BQwen3.8 Max
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
LMArena Expert—1507
ARC (AI2) Challenge84.4%—
BoolQ86.2%—
MMLU66.3%—

Multimodal Not comparable

Qwen-14B: —, Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

Qwen-14B: 27.5 (#275), Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Non-English10411472
LMArena Chinese10771538
LMArena French—1503
LMArena German—1483
LMArena Japanese—1467
LMArena Korean—1461
LMArena Russian—1481
LMArena Spanish—1492

Instruction Following Qwen3.8 Max leads

Qwen-14B: 52.4 (#289), Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Instruction Following10311479

Long Context Qwen3.8 Max leads

Qwen-14B: 31.3 (#280), Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Longer Query10281489

Writing & Preference Qwen3.8 Max leads

Qwen-14B: 27.6 (#299), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkQwen-14BQwen3.8 Max
LMArena Text10511483
LMArena Creative Writing10281479
LMArena Multi-Turn10221489

Frequently asked questions

Is Qwen-14B better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 31.4 on the Noometry Index.

Is Qwen-14B or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 31.2 in the Noometry coding category.

How many benchmarks do Qwen-14B and Qwen3.8 Max share?

11 benchmarks have published results for both models. Qwen-14B has 18 scored results on Noometry and Qwen3.8 Max has 39.

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