Model comparison

Claude Opus 4 vs Qwen3-Coder 480B-A35B Instruct

Claude Opus 4 is the stronger model overall, scoring 43.1 to 38.1 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 10× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Opus 4 Anthropic

43.1

Rank #100 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Opus 4 scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Claude Opus 4 leads 47.2 to 35.5.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 74.3% for Claude Opus 4 and 49.5% for Qwen3-Coder 480B-A35B Instruct.
  • Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 / $7.50 per million input/output tokens, against $15 / $75 for Claude Opus 4.
  • Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 200K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4 and Qwen3-Coder 480B-A35B Instruct specifications
Claude Opus 4Qwen3-Coder 480B-A35B Instruct
ProviderAnthropicAlibaba (Qwen)
Noometry Index43.138.1
Released2025-05-222025-04
WeightsProprietaryOpen
Context window200K262K
Max output32K66K
Input $ / M tokens$15$1.50
Output $ / M tokens$75$7.50
Results tracked5625

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Category by category

Coding Claude Opus 4 leads

Claude Opus 4: 47.2 (#62), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

Coding benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
SWE-bench Verified (bash only)67.6%55.4%
GSO6.9%4.9%
WeirdML43.7%41.2%
LMArena Coding14421412
AlgoTune1.331.44
SWE-bench Verified70.7%—
Aider Polyglot72%—
LMArena WebDev—1275
ALE-Bench—461.45

Agentic & Tool Use Claude Opus 4 leads

Claude Opus 4: 34.8 (#42), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
Terminal-Bench—27.2%
Cybench38%—
DeepResearch Bench46.8%—
LMArena Search1127—
METR Time Horizons63.9%—

Reasoning Claude Opus 4 leads

Claude Opus 4: 27.3 (#121), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

Reasoning benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark74.3%49.5%
LMArena Hard Prompts13991372
ARC-AGI-28.6%—
SimpleBench58.8%—
ARC-AGI-135.7%—
CritPt0.3%—
EnigmaEval5.6%—
DTBench81.6%—
LMCA37.4%—
Epoch Capabilities Index142.67—
ForecastBench61.1—

Math Claude Opus 4 leads

Claude Opus 4: 42.0 (#86), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

Math benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
LMArena Math13901365
OTIS Mock AIME 2024-202564.4%—
Omni-MATH61.6%—
MATH Level 585%—
FrontierMath (Feb 2025 set)4.5%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4 leads

Claude Opus 4: 44.0 (#88), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

Knowledge benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
LMArena Expert13861338
GPQA Diamond76.3%—
Humanity's Last Exam10.7%—
MMLU-Pro87.5%—
Confabulations15.9%—
Vectara Hallucination Rate12%—
GPQA (HELM)70.8%—

Multimodal Not comparable

Claude Opus 4: 31.5 (#106), Qwen3-Coder 480B-A35B Instruct: —

Multimodal benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
LMArena Vision1192—
GeoBench49%—
VPCT38%—

Multilingual Claude Opus 4 leads

Claude Opus 4: 48.8 (#138), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

Multilingual benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
LMArena Non-English13621346
LMArena Chinese13861357
LMArena French13721398
LMArena German13911325
LMArena Japanese13311310
LMArena Korean13211305
LMArena Russian13921366
LMArena Spanish13891360

Instruction Following Claude Opus 4 leads

Claude Opus 4: 77.1 (#28), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

Instruction Following benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
LMArena Instruction Following14061355
IFEval91.8%—

Long Context Qwen3-Coder 480B-A35B Instruct leads

Claude Opus 4: 39.6 (#172), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

Long Context benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
LMArena Longer Query14221378
Fiction.LiveBench61.1%—

Writing & Preference Claude Opus 4 leads

Claude Opus 4: 61.2 (#89), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

Writing & Preference benchmarks
BenchmarkClaude Opus 4Qwen3-Coder 480B-A35B Instruct
LMArena Text13771357
LMArena Creative Writing13871333
LMArena Multi-Turn13961365
Short-Story Creative Writing83.6%—
EQ-Bench Creative Writing1580—
WildBench85.2%—

Frequently asked questions

Is Claude Opus 4 better than Qwen3-Coder 480B-A35B Instruct?

Claude Opus 4 is the stronger model overall, scoring 43.1 to 38.1 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 10× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4 or Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Claude Opus 4 lists at $15 and $75.

Is Claude Opus 4 or Qwen3-Coder 480B-A35B Instruct better for coding?

Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 35.5 in the Noometry coding category.

Which has the bigger context window?

Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 200K.

How many benchmarks do Claude Opus 4 and Qwen3-Coder 480B-A35B Instruct share?

22 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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