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Claude Opus 4.7 vs Qwen3.8 Max (0902)

Claude Opus 4.7 leads Qwen3.8 Max (0902) on coding, 67.5 to 62.4 on the Vibe Coding Index, and Qwen3.8 Max (0902) costs 4.2x less per output token ($6.00 vs $25.00 per million). Updated October 22, 2026; 81 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace Qwen3.8 Max (0902)
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
48
Qwen3.8 Max (0902)Qwen
Coding
62.4
Overall
68.9
Output $/M
$6.00
32
vs boards won of 81 shared, 1 tied

Claude Opus 4.7 or Qwen3.8 Max (0902): which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902), though on 4 benchmarks against 5.

Pick Qwen3.8 Max (0902) for output tokens 4.2x cheaper ($6.00 vs $25.00 per million) and a lower cost per solved task ($1.32 against $2.95).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task
Shared results
81
Claude Opus 4.7 only
22
Qwen3.8 Max (0902) only
32
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 67.5 from 4 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category
Agentic work, 8.4 points apart on average over 7 shared benchmarks.
Widest single gap
Code migration (Vals AI): Claude Opus 4.7 43.9% against Qwen3.8 Max (0902) 24.0%, 19.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 4.2x apart.
Context window
Both take 1M tokens.

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 4.7BarsQwen3.8 Max (0902)Ties
Coding571 tie
Intelligence02
Agentic work25
Reasoning57
Math15
Knowledge83
General273
All shared boards48321 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index57
Coding benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
LiveBench codingNot measured60.3%Only Qwen3.8 Max (0902) measured
LMArena WebDev15581674Qwen3.8 Max (0902)
AA Coding Index73.676.2Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)85.1%87.8%Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)82.0%85.6%Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)Not measured34.3%Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)71.0%64.7%Claude Opus 4.7
Code migration (Vals AI)43.9%24.0%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)Not measured68.9%Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)68.5%67.4%Claude Opus 4.7
SWE-bench Multimodal (Vals AI)Not measured42.5%Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)Not measured12.8%Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)Not measured42.0%Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)Not measured28.6%Only Qwen3.8 Max (0902) measured
SciCodeNot measured53.2%Only Qwen3.8 Max (0902) measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
FrontierSWENot measured17.8%Only Qwen3.8 Max (0902) measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: coding15191502Claude Opus 4.7
LMArena Text: software and IT15161498Claude Opus 4.7
LMArena WebDev: React15601692Qwen3.8 Max (0902)
LMArena WebDev: HTML15541649Qwen3.8 Max (0902)
LMArena WebDev: from an image15771637Qwen3.8 Max (0902)
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
AA Intelligence Index40.745.4Qwen3.8 Max (0902)
Epoch Capabilities Index156.8157.4Qwen3.8 Max (0902)
Agentic workLike-for-likePublic boards, shown as published, kept out of the index25
Agentic work benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
AA Agentic Index38.656.0Qwen3.8 Max (0902)
Design Arena: agents building web appsNot measured1300Only Qwen3.8 Max (0902) measured
Design Arena: agents building full-stack appsNot measured1305Only Qwen3.8 Max (0902) measured
Design Arena: agents building mobile appsNot measured1224Only Qwen3.8 Max (0902) measured
Design Arena: agents building Android appsNot measured1196Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot gamesNot measured1234Only Qwen3.8 Max (0902) measured
Design Arena: PowerPoint slidesNot measured1233Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheetsNot measured967Only Qwen3.8 Max (0902) measured
LiveBench researchNot measured69.9%Only Qwen3.8 Max (0902) measured
LiveBench browserNot measured32.0%Only Qwen3.8 Max (0902) measured
LiveBench long agenticNot measured42.3%Only Qwen3.8 Max (0902) measured
Finance Agent (Vals AI)51.5%50.6%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%32.1%Qwen3.8 Max (0902)
Legal Research Bench (Vals AI)38.5%47.6%Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)63.7%60.1%Claude Opus 4.7
Terminal-Bench-Science (Vals AI)Not measured12.9%Only Qwen3.8 Max (0902) measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%63.3%Qwen3.8 Max (0902)
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 Search12301261Qwen3.8 Max (0902)
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index57
Reasoning benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
GPQA Diamond90.2%93.7%Qwen3.8 Max (0902)
LiveBench reasoningNot measured88.2%Only Qwen3.8 Max (0902) measured
MysteryMechanism (Vals AI)Not measured23.9%Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)85.5%88.0%Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)91.4%92.8%Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)42.3%43.1%Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)90.2%92.7%Qwen3.8 Max (0902)
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%46.0%Qwen3.8 Max (0902)
Mystery game puzzles28.0%38.0%Qwen3.8 Max (0902)
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061496Claude Opus 4.7
LMArena Text: expert15211507Claude Opus 4.7
LMArena Text: hard prompts in English15081503Claude Opus 4.7
LMArena Vision: diagrams13361323Claude Opus 4.7
LMArena Vision: homework13371336Claude Opus 4.7
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%100.0%Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 370.2%74.7%Qwen3.8 Max (0902)
FrontierMath, tier 431.7%46.3%Qwen3.8 Max (0902)
ProofBench54.0%58.0%Qwen3.8 Max (0902)
LMArena Text: math14981501Qwen3.8 Max (0902)
LMArena Text: mathematical work15091491Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
Knowledge benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
MMLU Pro89.9%88.6%Claude Opus 4.7
LegalBench (Vals AI)85.3%83.6%Claude Opus 4.7
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%65.8%Claude Opus 4.7
TaxEval (Vals AI)75.3%75.5%Qwen3.8 Max (0902)
MortgageTax (Vals AI)70.3%64.0%Claude Opus 4.7
MedCode (Vals AI)54.9%40.7%Claude Opus 4.7
SimpleQA Verified51.7%47.3%Claude Opus 4.7
LMArena Text: science15081512Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare14951503Qwen3.8 Max (0902)
LMArena Text: legal and government15041492Claude Opus 4.7
LMArena Text: business and finance14901480Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
Design Arena: websitesNot measured1275Only Qwen3.8 Max (0902) measured
Design Arena: UI componentsNot measured1338Only Qwen3.8 Max (0902) measured
Design Arena: game devNot measured1312Only Qwen3.8 Max (0902) measured
Design Arena: data vizNot measured1281Only Qwen3.8 Max (0902) measured
Design Arena: 3DNot measured1336Only Qwen3.8 Max (0902) measured
Design Arena: all code categoriesNot measured1293Only Qwen3.8 Max (0902) measured
Design Arena: ASCII artNot measured1200Only Qwen3.8 Max (0902) measured
LiveBench designNot measured78.6%Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index273
General benchmarks for Claude Opus 4.7 and Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
LiveBench data analysisNot measured78.4%Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)Not measured67.1%Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)56.1%51.2%Claude Opus 4.7
MedScribe (Vals AI)83.0%85.0%Qwen3.8 Max (0902)
Vals Multimodal Index67.4%65.4%Claude Opus 4.7
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%80.3%Qwen3.8 Max (0902)
DTBench94.7%92.0%Claude Opus 4.7
LMCA52.2%46.2%Claude Opus 4.7
Furniture assembly33.3%20.0%Claude Opus 4.7
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901483Claude Opus 4.7
LMArena Text: instruction following14981481Claude Opus 4.7
LMArena Text: creative writing14861477Claude Opus 4.7
LMArena Vision13171313Claude Opus 4.7
LMArena Text: English14961491Claude Opus 4.7
LMArena Text: non-English14801473Claude Opus 4.7
LMArena Text: Chinese15311539Qwen3.8 Max (0902)
LMArena Text: German14951478Claude Opus 4.7
LMArena Text: Japanese14741473Claude Opus 4.7
LMArena Text: Korean14641460Claude Opus 4.7
LMArena Text: French15031498Claude Opus 4.7
LMArena Text: Spanish14941489Claude Opus 4.7
LMArena Text: Russian14941482Claude Opus 4.7
LMArena Text: Polish14891471Claude Opus 4.7
LMArena Text: multi-turn15051489Claude Opus 4.7
LMArena Text: longer queries15051488Claude Opus 4.7
LMArena Text: writing and language14921477Claude Opus 4.7
LMArena Text: entertainment and media14741464Claude Opus 4.7
LMArena Vision: English13221311Claude Opus 4.7
LMArena Vision: Chinese13711358Claude Opus 4.7
LMArena Vision: reading text13271322Claude Opus 4.7
LMArena Vision: humor13091304Claude Opus 4.7
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261312Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 10 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 Qwen3.8 Max (0902)
BenchmarkClaude Opus 4.7Qwen3.8 Max (0902)Leader
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
Qwen3.8 Max (0902)$0.0050Fits in one request

Qwen3.8 Max (0902) costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Qwen3.8 Max (0902)$0.118Fits in one request

Qwen3.8 Max (0902) costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Qwen3.8 Max (0902)$0.460Fits in one request

Qwen3.8 Max (0902) 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 Qwen3.8 Max (0902)
SpecificationAnthropic Claude Opus 4.7Qwen3.8 Max (0902)
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026September 3, 2026
Context window1M1M
Input $/Mtok$5.00$2.00
Output $/Mtok$25.00$6.00
Coding index67.562.4
Independent measurements behind it45
Cost per solved task$2.95$1.32
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Qwen3.8 Max (0902) for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902), though on 4 benchmarks against 5. Pick Qwen3.8 Max (0902) for output tokens 4.2x cheaper ($6.00 vs $25.00 per million) and a lower cost per solved task ($1.32 against $2.95).

Which is cheaper, Claude Opus 4.7 or Qwen3.8 Max (0902)?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Claude Opus 4.7 or Qwen3.8 Max (0902)?

Neither: both take 1M tokens.

How many benchmarks is the Claude Opus 4.7 vs Qwen3.8 Max (0902) comparison based on?

81 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.

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