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Claude Opus 4.7 vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 41 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.7Anthropic
Coding
51.1
Overall
40.7
Output $/M
$25.00
41
Qwen3 Coder 480B A35BQwen
Coding
50.0
Overall
11.9
Output $/M
$1.00
0
vs boards won of 41 shared

Decision reading

Claude Opus 4.7 and Qwen3 Coder 480B A35B are level for coding, 51.1 against 50.0 on the Vibe Coding Index, so price and context decide.

Pick Qwen3 Coder 480B A35B when output tokens cost 25.0x less. Pick Claude Opus 4.7 when the context window is larger, 1M against 262K tokens, or when what matters is LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
41
Claude Opus 4.7 only
60
Qwen3 Coder 480B A35B only
11
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.7 51.1 from 1 benchmark, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
Widest category
Agentic work, 45.0 points apart on average over 1 shared benchmark.
Widest single gap
Terminal-Bench: Claude Opus 4.7 80.2% against Qwen3 Coder 480B A35B 27.2%, 53.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 25.0x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Qwen3 Coder 480B A35B 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.7BarsQwen3 Coder 480B A35BTies
Coding90
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
General190
All shared boards410
CodingLike-for-likeFour of these boards feed the Vibe Coding Index90
Coding benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDev15581275Claude Opus 4.7
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Vibe Code Bench (Vals AI)71.0%Not measuredOnly Claude Opus 4.7 measured
Code migration (Vals AI)43.9%Not measuredOnly Claude Opus 4.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Artificial Analysis run)Not measured58.5%Only Qwen3 Coder 480B A35B measured
Terminal-Bench Hard (Artificial Analysis run)54.5%18.9%Claude Opus 4.7
Terminal-Bench80.2%27.2%Claude Opus 4.7
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%4.9%Claude Opus 4.7
WeirdML76.4%41.2%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding15191412Claude Opus 4.7
LMArena Text: software and IT15161393Claude Opus 4.7
LMArena WebDev: React15601257Claude Opus 4.7
LMArena WebDev: HTML15541287Claude Opus 4.7
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
AA Intelligence Index40.711.9Claude Opus 4.7
Epoch Capabilities Index156.8Not measuredOnly Claude Opus 4.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Finance Agent (Vals AI)51.5%Not measuredOnly Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)23.7%Not measuredOnly Claude Opus 4.7 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)63.7%Not measuredOnly Claude Opus 4.7 measured
τ²-Bench Telecom88.6%43.6%Claude Opus 4.7
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%61.8%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%4.5%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061372Claude Opus 4.7
LMArena Text: expert15211338Claude Opus 4.7
LMArena Text: hard prompts in English15081380Claude Opus 4.7
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: math14981365Claude Opus 4.7
LMArena Text: mathematical work15091367Claude Opus 4.7
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081347Claude Opus 4.7
LMArena Text: medicine and healthcare14951347Claude Opus 4.7
LMArena Text: legal and government15041358Claude Opus 4.7
LMArena Text: business and finance14901343Claude Opus 4.7
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
Design Arena: UI componentsNot measured1112Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%40.5%Claude Opus 4.7
Long context reasoning (AA-LCR)78.7%45.7%Claude Opus 4.7
DTBench94.7%Not measuredOnly Claude Opus 4.7 measured
LMCA52.2%Not measuredOnly Claude Opus 4.7 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901357Claude Opus 4.7
LMArena Text: instruction following14981355Claude Opus 4.7
LMArena Text: creative writing14861333Claude Opus 4.7
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English14961359Claude Opus 4.7
LMArena Text: non-English14801346Claude Opus 4.7
LMArena Text: Chinese15311357Claude Opus 4.7
LMArena Text: German14951325Claude Opus 4.7
LMArena Text: Japanese14741311Claude Opus 4.7
LMArena Text: Korean14641305Claude Opus 4.7
LMArena Text: French15031398Claude Opus 4.7
LMArena Text: Spanish14941360Claude Opus 4.7
LMArena Text: Russian14941366Claude Opus 4.7
LMArena Text: Polish14891344Claude Opus 4.7
LMArena Text: multi-turn15051366Claude Opus 4.7
LMArena Text: longer queries15051378Claude Opus 4.7
LMArena Text: writing and language14921340Claude Opus 4.7
LMArena Text: entertainment and media14741317Claude Opus 4.7
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Qwen3 Coder 480B A35B
BenchmarkClaude Opus 4.7Qwen3 Coder 480B A35BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.7$0.018Fits in one request
Qwen3 Coder 480B A35B$0.0008Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Qwen3 Coder 480B A35B$0.018Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Qwen3 Coder 480B A35B$0.070Fits in one request

Qwen3 Coder 480B A35B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.7 and Qwen3 Coder 480B A35B
SpecificationAnthropic Claude Opus 4.7Qwen3 Coder 480B A35B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026July 23, 2025
Context window1M262K
Input $/Mtok$5.00$0.30
Output $/Mtok$25.00$1.00
Coding index51.150.0
Independent measurements behind it12
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Qwen3 Coder 480B A35B for coding?

Claude Opus 4.7 and Qwen3 Coder 480B A35B are level for coding, 51.1 against 50.0 on the Vibe Coding Index, so price and context decide. Pick Qwen3 Coder 480B A35B when output tokens cost 25.0x less. Pick Claude Opus 4.7 when the context window is larger, 1M against 262K tokens, or when what matters is LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Claude Opus 4.7 or Qwen3 Coder 480B A35B?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.00. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or Qwen3 Coder 480B A35B?

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

How many benchmarks is the Claude Opus 4.7 vs Qwen3 Coder 480B A35B comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 1 independent benchmark and Qwen3 Coder 480B A35B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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