Noometry

Model comparison

Claude Opus 4.7 vs Qwen3-Coder 480B-A35B Instruct

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 38.1 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 3.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

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

38.1

Rank #190 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 66.7 to 37.6.
  • The biggest single-benchmark swing is Terminal-Bench: 80.2% for Claude Opus 4.7 and 27.2% 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 4.7.
  • Claude Opus 4.7 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 4.7Qwen3-Coder 480B-A35B Instruct
ProviderAnthropicAlibaba (Qwen)
Noometry Index58.338.1
Released2026-04-142025-04
WeightsProprietaryOpen
Context window1M262K
Max output128K66K
Input $ / M tokens$5$1.50
Output $ / M tokens$25$7.50
Results tracked6625

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena WebDev15581275
GSO44.1%4.9%
WeirdML76.4%41.2%
LMArena Coding15181412
ALE-Bench1,323461.45
SWE-bench Verified83.5%—
FrontierCode38.5%—
SWE-bench Verified (bash only)—55.4%
SciCode54.5%—
MirrorCode31.1%—
AlgoTune—1.44

Agentic & Tool Use Claude Opus 4.7 leads

Claude Opus 4.7: 47.9 (#10), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
Terminal-Bench80.2%27.2%
APEX-Agents49.2%—
OSWorld 2.018.2%—
τ²-bench Banking40.2%—
PostTrainBench28.6%—
ExploitBench26.5%—
GBAEval43.8%—
GDP.pdf21%—
LMArena Search1233—
Vending-Bench 210,937—

Reasoning Claude Opus 4.7 leads

Claude Opus 4.7: 53.8 (#29), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark80.7%49.5%
LMArena Hard Prompts15061372
ARC-AGI-275.8%—
SimpleBench61.7%—
NYT Connections (extended)39%—
ARC-AGI-193.5%—
CritPt12%—
Chess Puzzles30%—
Thematic Generalization72.8%—
EBR-Bench19%—
Mystery Game Puzzles28%—
DTBench94.7%—
LMCA52.2%—
Epoch Capabilities Index156.25—
ForecastBench60.3—

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.7 (#26), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena Math14991365
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
OTIS Mock AIME 2024-202597.8%—
ProofBench54%—
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—

Knowledge Claude Opus 4.7 leads

Claude Opus 4.7: 62.6 (#23), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena Expert15211338
GPQA Diamond90.2%—
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
Vectara Hallucination Rate12%—

Multimodal Not comparable

Claude Opus 4.7: 41.2 (#38), Qwen3-Coder 480B-A35B Instruct: —

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena Vision1316—
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.3 (#10), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena Non-English14801346
LMArena Chinese15311357
LMArena French15031398
LMArena German14951325
LMArena Japanese14721310
LMArena Korean14641305
LMArena Russian14941366
LMArena Spanish14951360

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena Instruction Following14981355

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena Longer Query15051378

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

BenchmarkClaude Opus 4.7Qwen3-Coder 480B-A35B Instruct
LMArena Text14901357
LMArena Creative Writing14861333
LMArena Multi-Turn15051365
EQ-Bench Creative Writing1914—
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than Qwen3-Coder 480B-A35B Instruct?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 38.1 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 3.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.7 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 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Qwen3-Coder 480B-A35B Instruct better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 35.5 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 262K.

How many benchmarks do Claude Opus 4.7 and Qwen3-Coder 480B-A35B Instruct share?

23 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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