Model comparison

Claude Opus 4 vs Qwen-14B

Claude Opus 4 is the stronger model overall, scoring 43.1 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

Claude Opus 4 Anthropic

43.1

Rank #100 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Claude Opus 4 scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Claude Opus 4 leads 61.2 to 27.6.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4 and Qwen-14B specifications
Claude Opus 4Qwen-14B
ProviderAnthropicAlibaba (Qwen)
Noometry Index43.131.4
Released2025-05-222023-09-24
WeightsProprietaryOpen
Context window200K—
Max output32K—
Input $ / M tokens$15—
Output $ / M tokens$75—
Results tracked5618

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Category by category

Coding Claude Opus 4 leads

Claude Opus 4: 47.2 (#62), Qwen-14B: 31.2 (#288)

Coding benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Coding14421071
SWE-bench Verified70.7%—
SWE-bench Verified (bash only)67.6%—
Aider Polyglot72%—
GSO6.9%—
WeirdML43.7%—
AlgoTune1.33—

Agentic & Tool Use Not comparable

Claude Opus 4: 34.8 (#42), Qwen-14B: —

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4Qwen-14B
Cybench38%—
DeepResearch Bench46.8%—
LMArena Search1127—
METR Time Horizons63.9%—

Reasoning Claude Opus 4 leads

Claude Opus 4: 27.3 (#121), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Hard Prompts13991027
Epoch Capabilities Index142.67113.03
ARC-AGI-28.6%—
SimpleBench58.8%—
Kagi LLM Benchmark74.3%—
ARC-AGI-135.7%—
CritPt0.3%—
EnigmaEval5.6%—
DTBench81.6%—
LMCA37.4%—
BIG-Bench Hard—55%
ForecastBench61.1—
LAMBADA—71.1%
PIQA—79.9%

Math Claude Opus 4 leads

Claude Opus 4: 42.0 (#86), Qwen-14B: 31.2 (#227)

Math benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Math13901068
OTIS Mock AIME 2024-202564.4%—
Omni-MATH61.6%—
MATH Level 585%—
FrontierMath (Feb 2025 set)4.5%—
FrontierMath Tier 4 (v1)4.2%—
GSM8K—61.3%

Knowledge Not comparable

Claude Opus 4: 44.0 (#88), Qwen-14B: —

Knowledge benchmarks
BenchmarkClaude Opus 4Qwen-14B
GPQA Diamond76.3%—
Humanity's Last Exam10.7%—
MMLU-Pro87.5%—
Confabulations15.9%—
Vectara Hallucination Rate12%—
GPQA (HELM)70.8%—
LMArena Expert1386—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multimodal Not comparable

Claude Opus 4: 31.5 (#106), Qwen-14B: —

Multimodal benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Vision1192—
GeoBench49%—
VPCT38%—

Multilingual Claude Opus 4 leads

Claude Opus 4: 48.8 (#138), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Non-English13621041
LMArena Chinese13861077
LMArena French1372—
LMArena German1391—
LMArena Japanese1331—
LMArena Korean1321—
LMArena Russian1392—
LMArena Spanish1389—

Instruction Following Claude Opus 4 leads

Claude Opus 4: 77.1 (#28), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Instruction Following14061031
IFEval91.8%—

Long Context Claude Opus 4 leads

Claude Opus 4: 39.6 (#172), Qwen-14B: 31.3 (#280)

Long Context benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Longer Query14221028
Fiction.LiveBench61.1%—

Writing & Preference Claude Opus 4 leads

Claude Opus 4: 61.2 (#89), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
BenchmarkClaude Opus 4Qwen-14B
LMArena Text13771051
LMArena Creative Writing13871028
LMArena Multi-Turn13961022
Short-Story Creative Writing83.6%—
EQ-Bench Creative Writing1580—
WildBench85.2%—

Frequently asked questions

Is Claude Opus 4 better than Qwen-14B?

Claude Opus 4 is the stronger model overall, scoring 43.1 to 31.4 on the Noometry Index.

Is Claude Opus 4 or Qwen-14B better for coding?

Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 31.2 in the Noometry coding category.

How many benchmarks do Claude Opus 4 and Qwen-14B share?

11 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Qwen-14B has 18.

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