Noometry

Model comparison

Claude Sonnet 4.5 vs Qwen3-30B-A3B

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 28× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 28 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.1

Rank #81 Confirmed

Qwen3-30B-A3B Alibaba (Qwen)

38.9

Rank #179 Confirmed

Summary

  • They share 28 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 8 categories and Qwen3-30B-A3B in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Claude Sonnet 4.5 leads 45.2 to 31.0.
  • The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 73.2% for Claude Sonnet 4.5 and 41.4% for Qwen3-30B-A3B.
  • Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 200K tokens versus 41K.
  • Qwen3-30B-A3B has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5Qwen3-30B-A3B
ProviderAnthropicAlibaba (Qwen)
Noometry Index44.138.9
Released2025-09-292025-04-28
WeightsProprietaryOpen
Context window200K41K
Max output64K16K
Input $ / M tokens$3$0.12
Output $ / M tokens$15$0.50
Results tracked7332

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Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.3 (#61), Qwen3-30B-A3B: 37.5 (#194)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
SciCode44.7%33.3%
WeirdML47.7%29.8%
LMArena Coding14891416
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
LMArena WebDev1393—
SWE-bench Multilingual67%—
GSO14.7%—
ALE-Bench796.15—
AlgoTune1.52—

Agentic & Tool Use Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 38.3 (#32), Qwen3-30B-A3B: 29.8 (#82)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
Berkeley Function Calling Leaderboard73.2%41.4%
Terminal-Bench46.5%—
GDPval42.5%—
Remote Labor Index2.1%—
τ²-bench Airline72%—
τ²-bench Banking25.3%—
τ²-bench Retail72.4%—
τ²-bench Telecom84.9%—
Cybench60%—
DeepResearch Bench52.6%—
OSWorld62.9%—
LMArena Search1159—
METR Time Horizons67.4%—
Vending-Bench 23,839—

Reasoning Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 26.9 (#125), Qwen3-30B-A3B: 22.2 (#204)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
Kagi LLM Benchmark57.9%54.9%
CritPt1.1%0.3%
Chess Puzzles12%8%
LMArena Hard Prompts14621398
DTBench83.2%69.3%
LMCA38.8%22.4%
Epoch Capabilities Index146.84139.63
ARC-AGI-213.6%—
SimpleBench54.3%—
NYT Connections (extended)37.3%—
ARC-AGI-163.7%—
EnigmaEval6%—
EBR-Bench2.4%—
Mystery Game Puzzles17%—
ForecastBench61.9—

Math Qwen3-30B-A3B leads

Claude Sonnet 4.5: 32.3 (#216), Qwen3-30B-A3B: 37.4 (#157)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
OTIS Mock AIME 2024-202577.8%70.3%
LMArena Math14491394
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
MathArena Final-Answer Competitions—47.8%
ProofBench19%—
Omni-MATH55.3%—
MATH Level 597.7%—
FrontierMath (Feb 2025 set)15.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#76), Qwen3-30B-A3B: 41.8 (#105)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
GPQA Diamond82.3%70.1%
LMArena Expert14821396
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—
MMLU-Pro86.9%—
Confabulations—12.3%
Vectara Hallucination Rate12%—
GPQA (HELM)68.6%—

Multimodal Not comparable

Claude Sonnet 4.5: 34.8 (#89), Qwen3-30B-A3B: —

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
VPCT39.8%—
LMArena Document1450—

Multilingual Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 53.4 (#69), Qwen3-30B-A3B: 49.5 (#132)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
LMArena Non-English14251372
LMArena Chinese14591433
LMArena French14581418
LMArena German14271380
LMArena Japanese13901337
LMArena Korean14031331
LMArena Russian14371370
LMArena Spanish14571404

Instruction Following Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 75.0 (#78), Qwen3-30B-A3B: 72.0 (#142)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
LMArena Instruction Following14591363
IFEval85%—

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#46), Qwen3-30B-A3B: 31.0 (#283)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
LMArena Longer Query14761379
Fiction.LiveBench—40.6%

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.5 (#34), Qwen3-30B-A3B: 55.6 (#143)

BenchmarkClaude Sonnet 4.5Qwen3-30B-A3B
LMArena Text14391384
LMArena Creative Writing14421317
LMArena Multi-Turn14651378
Short-Story Creative Writing—75.3%
EQ-Bench Creative Writing1678—
WildBench85.4%—

Frequently asked questions

Is Claude Sonnet 4.5 better than Qwen3-30B-A3B?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 38.9 on the Noometry Index. Qwen3-30B-A3B costs 28× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.5 or Qwen3-30B-A3B?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Qwen3-30B-A3B better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 37.5 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.5 does, with 200K tokens against 41K.

How many benchmarks do Claude Sonnet 4.5 and Qwen3-30B-A3B share?

28 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Qwen3-30B-A3B has 32.

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