Noometry

Model comparison

Claude Opus 4.8 vs Qwen3-Coder 480B-A35B Instruct

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 37.7 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 3.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Opus 4.8 Anthropic

60.7

Rank #9 Confirmed

Qwen3-Coder 480B-A35B Instruct Alibaba (Qwen)

37.7

Rank #186 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Opus 4.8 scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 4.8 leads 78.2 to 34.9.
  • The biggest single-benchmark swing is GSO: 47.1% for Claude Opus 4.8 and 4.9% for Qwen3-Coder 480B-A35B Instruct.
  • Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 / $7.50 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
  • Claude Opus 4.8 accepts more context: 1M tokens versus 262K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.8Qwen3-Coder 480B-A35B Instruct
ProviderAnthropicAlibaba (Qwen)
Noometry Index60.737.7
Released2026-05-282025-04
WeightsProprietaryOpen
Context window1M262K
Max output128K66K
Input $ / M tokens$5$1.50
Output $ / M tokens$25$7.50
Results tracked6525

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Category by category

Coding Claude Opus 4.8 leads

Claude Opus 4.8: 60.2 (#9), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena WebDev15561275
GSO47.1%4.9%
WeirdML82.9%41.2%
LMArena Coding14911413
ALE-Bench1,564461.45
DeepSWE59%—
FrontierCode46.5%—
SWE-bench Verified (bash only)—55.4%
SciCode53.5%—
AlgoTune—1.44

Agentic & Tool Use Claude Opus 4.8 leads

Claude Opus 4.8: 47.6 (#10), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
Terminal-Bench—27.2%
APEX-Agents48.9%—
OSWorld 2.020.6%—
Remote Labor Index8.3%—
τ²-bench Banking39.7%—
DeepResearch Bench50.2%—
PostTrainBench33.8%—
GBAEval70.9%—
GDP.pdf24%—
LMArena Search1204—
Vending-Bench 25,787—

Reasoning Claude Opus 4.8 leads

Claude Opus 4.8: 64.6 (#14), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark88.8%49.5%
LMArena Hard Prompts14811372
ARC-AGI-272.1%—
SimpleBench64.8%—
NYT Connections (extended)91.1%—
ARC-AGI-192.5%—
CritPt20.9%—
Chess Puzzles34%—
EnigmaEval23.5%—
EBR-Bench28.6%—
Mystery Game Puzzles36%—
DTBench94.9%—
LMCA57.5%—
Surface Evolver Bench87.5%—
Bench to the Future 30.14—
Epoch Capabilities Index158.3—
ForecastBench59.9—

Math Claude Opus 4.8 leads

Claude Opus 4.8: 78.2 (#11), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena Math14871364
FrontierMath (Tiers 1-3)80%—
FrontierMath Tier 456.1%—
MathArena Final-Answer Competitions91.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench69%—
FrontierMath (Feb 2025 set)47.2%—
FrontierMath Tier 4 (v1)31.3%—

Knowledge Claude Opus 4.8 leads

Claude Opus 4.8: 61.3 (#26), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena Expert15011337
GPQA Diamond91%—
SimpleQA Verified53%—

Multimodal Not comparable

Claude Opus 4.8: 43.2 (#20), Qwen3-Coder 480B-A35B Instruct: —

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena Vision1295—
Blueprint-Bench 214.5%—
Furniture Assembly42.5%—
LMArena Document1475—

Multilingual Claude Opus 4.8 leads

Claude Opus 4.8: 55.4 (#31), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena Non-English14501345
LMArena Chinese15091356
LMArena French14821394
LMArena German14701324
LMArena Japanese14401309
LMArena Korean14321307
LMArena Russian14761367
LMArena Spanish14701360

Instruction Following Claude Opus 4.8 leads

Claude Opus 4.8: 77.6 (#22), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena Instruction Following14761356

Long Context Claude Opus 4.8 leads

Claude Opus 4.8: 45.4 (#37), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena Longer Query14821379

Writing & Preference Claude Opus 4.8 leads

Claude Opus 4.8: 72.1 (#17), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

BenchmarkClaude Opus 4.8Qwen3-Coder 480B-A35B Instruct
LMArena Text14601356
LMArena Creative Writing14531333
LMArena Multi-Turn14761365
EQ-Bench Creative Writing1840—
EQ-Bench 41281—

Frequently asked questions

Is Claude Opus 4.8 better than Qwen3-Coder 480B-A35B Instruct?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 37.7 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 3.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.8 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 4.8 lists at $5 and $25.

Is Claude Opus 4.8 or Qwen3-Coder 480B-A35B Instruct better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 60.2 versus 36.2 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 262K.

How many benchmarks do Claude Opus 4.8 and Qwen3-Coder 480B-A35B Instruct share?

22 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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