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Claude Opus 4.5 vs Qwen3.8 27B

Qwen3.8 27B leads Claude Opus 4.5 on coding, 74.2 to 44.0 on the Vibe Coding Index, and Qwen3.8 27B costs 9.8x less per output token ($2.55 vs $25.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace Qwen3.8 27B
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
34
Qwen3.8 27BQwen
Coding
74.2
Overall
59.6
Output $/M
$2.55
19
vs boards won of 53 shared

Claude Opus 4.5 or Qwen3.8 27B: which to pick

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 44.0 for Claude Opus 4.5.

Pick Claude Opus 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved taskModel BQwen3.8 27BQwen74.2/1004 independent benchmarks$1.26 per solved task
Shared results
53
Claude Opus 4.5 only
55
Qwen3.8 27B only
32
Like-for-like categories
6 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 4.5 44.0 from 3 benchmarks, Qwen3.8 27B 74.2 from 4 benchmarks.
Widest category
Coding, 12.8 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.5 20.6% against Qwen3.8 27B 64.8%, 44.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Qwen3.8 27B $2.55 per million output tokens, 9.8x apart.
Context window
Claude Opus 4.5 takes 200K tokens, Qwen3.8 27B 1M.

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 4.5BarsQwen3.8 27BTies
Coding26
Intelligence02
Reasoning36
Math30
Knowledge81
General184
All shared boards3419
CodingLike-for-likeSix of these boards feed the Vibe Coding Index26
Coding benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LiveBench codingNot measured86.8%Only Qwen3.8 27B measured
LMArena WebDev14941593Qwen3.8 27B
AA Coding IndexNot measured68.1Only Qwen3.8 27B measured
LiveCodeBench (Vals AI)83.7%84.0%Qwen3.8 27B
SWE-bench Verified (Vals AI)76.4%86.0%Qwen3.8 27B
Vibe Code Bench (Vals AI)20.6%64.8%Qwen3.8 27B
Code migration (Vals AI)Not measured14.2%Only Qwen3.8 27B measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
IOI (Vals AI)Not measured39.1%Only Qwen3.8 27B measured
Terminal-Bench 2.1 (Vals AI)Not measured58.4%Only Qwen3.8 27B measured
SkillsBench (Vals AI)Not measured38.1%Only Qwen3.8 27B measured
CyberBench (Vals AI)Not measured67.8%Only Qwen3.8 27B measured
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured46.6%Only Qwen3.8 27B measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031483Claude Opus 4.5
LMArena Text: software and IT14831478Claude Opus 4.5
LMArena WebDev: React14781602Qwen3.8 27B
LMArena WebDev: HTML15101570Qwen3.8 27B
LMArena WebDev: from an imageNot measured1577Only Qwen3.8 27B measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
AA Intelligence Index29.133.7Qwen3.8 27B
Epoch Capabilities Index150.1151.7Qwen3.8 27B
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
AA Agentic IndexNot measured45.8Only Qwen3.8 27B measured
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 measured
LiveBench researchNot measured59.4%Only Qwen3.8 27B measured
LiveBench browserNot measured32.0%Only Qwen3.8 27B measured
LiveBench long agenticNot measured27.9%Only Qwen3.8 27B measured
Finance Agent (Vals AI)Not measured48.5%Only Qwen3.8 27B measured
Tax Agent Bench (Vals AI)Not measured30.9%Only Qwen3.8 27B measured
Legal Research Bench (Vals AI)Not measured36.1%Only Qwen3.8 27B measured
Excel Modeling Benchmark (Vals AI)Not measured59.7%Only Qwen3.8 27B measured
Terminal-Bench-Science (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
τ²-Bench Telecom89.5%Not measuredOnly Claude Opus 4.5 measured
APEX-AgentsNot measured47.5%Only Qwen3.8 27B measured
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
GPQA Diamond85.9%88.9%Qwen3.8 27B
LiveBench reasoningNot measured80.0%Only Qwen3.8 27B measured
MMMU Pro (Vals AI)83.0%83.9%Qwen3.8 27B
GPQA Diamond (Artificial Analysis run)86.6%90.5%Qwen3.8 27B
Humanity's Last Exam (Artificial Analysis run)30.1%33.9%Qwen3.8 27B
GPQA Diamond (Epoch AI run)86.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI80.0%87.5%Qwen3.8 27B
ARC-AGI-237.6%42.4%Qwen3.8 27B
SimpleBench62.0%Not measuredOnly Claude Opus 4.5 measured
Chess puzzles14.0%Not measuredOnly Claude Opus 4.5 measured
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761459Claude Opus 4.5
LMArena Text: expert14871479Claude Opus 4.5
LMArena Text: hard prompts in English14821461Claude Opus 4.5
LMArena Vision: diagramsNot measured1285Only Qwen3.8 27B measured
LMArena Vision: homeworkNot measured1295Only Qwen3.8 27B measured
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%16.0%Claude Opus 4.5
LMArena Text: math14631455Claude Opus 4.5
LMArena Text: mathematical work14681458Claude Opus 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
MMLU Pro87.3%84.3%Claude Opus 4.5
LegalBench (Vals AI)84.6%82.4%Claude Opus 4.5
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%70.8%Claude Opus 4.5
MortgageTax (Vals AI)68.7%64.9%Claude Opus 4.5
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%28.7%Claude Opus 4.5
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541467Qwen3.8 27B
LMArena Text: medicine and healthcare14441437Claude Opus 4.5
LMArena Text: legal and government14591447Claude Opus 4.5
LMArena Text: business and finance14481438Claude Opus 4.5
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
Design Arena: websites1247Not measuredOnly Claude Opus 4.5 measured
Design Arena: UI components1235Not measuredOnly Claude Opus 4.5 measured
Design Arena: game dev1228Not measuredOnly Claude Opus 4.5 measured
Design Arena: data viz1243Not measuredOnly Claude Opus 4.5 measured
Design Arena: 3D1213Not measuredOnly Claude Opus 4.5 measured
Design Arena: all code categories1242Not measuredOnly Claude Opus 4.5 measured
Design Arena: SVG1180Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
LiveBench designNot measured75.9%Only Qwen3.8 27B measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index184
General benchmarks for Claude Opus 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
LiveBench data analysisNot measured76.6%Only Qwen3.8 27B measured
SAGE (Vals AI)52.1%52.4%Qwen3.8 27B
MedScribe (Vals AI)85.3%83.8%Claude Opus 4.5
IFBench58.0%Not measuredOnly Claude Opus 4.5 measured
Long context reasoning (AA-LCR)77.3%82.0%Qwen3.8 27B
DTBench89.9%88.0%Claude Opus 4.5
LMCA44.5%41.4%Claude Opus 4.5
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511440Claude Opus 4.5
LMArena Text: instruction following14781436Claude Opus 4.5
LMArena Text: creative writing14451383Claude Opus 4.5
LMArena VisionNot measured1269Only Qwen3.8 27B measured
LMArena Text: English14611448Claude Opus 4.5
LMArena Text: non-English14381428Claude Opus 4.5
LMArena Text: Chinese14701501Qwen3.8 27B
LMArena Text: German14491443Claude Opus 4.5
LMArena Text: Japanese14171387Claude Opus 4.5
LMArena Text: Korean14241384Claude Opus 4.5
LMArena Text: French14711465Claude Opus 4.5
LMArena Text: Spanish14571449Claude Opus 4.5
LMArena Text: Russian14471415Claude Opus 4.5
LMArena Text: Polish14391439Qwen3.8 27B
LMArena Text: multi-turn14661440Claude Opus 4.5
LMArena Text: longer queries14791448Claude Opus 4.5
LMArena Text: writing and language14521405Claude Opus 4.5
LMArena Text: entertainment and media14341393Claude Opus 4.5
LMArena Vision: EnglishNot measured1267Only Qwen3.8 27B measured
LMArena Vision: ChineseNot measured1326Only Qwen3.8 27B measured
LMArena Vision: reading textNot measured1281Only Qwen3.8 27B measured
LMArena Vision: humorNot measured1235Only Qwen3.8 27B measured
LMArena Vision: creative writingNot measured1237Only Qwen3.8 27B measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 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 4.5 and Qwen3.8 27B
BenchmarkClaude Opus 4.5Qwen3.8 27BLeader
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 4.5$0.018Fits in one request
Qwen3.8 27B$0.0017Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
Qwen3.8 27B$0.029Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
Qwen3.8 27B$0.111Fits in one request

Qwen3.8 27B 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 4.5 and Qwen3.8 27B
SpecificationAnthropic Claude Opus 4.5Qwen3.8 27B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedNovember 24, 2025August 14, 2026
Context window200K1M
Input $/Mtok$5.00$0.425
Output $/Mtok$25.00$2.55
Coding index44.074.2
Independent measurements behind it34
Cost per solved task$1.37$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 44.0 for Claude Opus 4.5. Pick Claude Opus 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Opus 4.5 or Qwen3.8 27B?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and Qwen3.8 27B $1.26.

Which has the bigger context window, Claude Opus 4.5 or Qwen3.8 27B?

Qwen3.8 27B, with 1M tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Qwen3.8 27B comparison based on?

53 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and Qwen3.8 27B's on 4. Where only one model has a result, the page says so instead of naming a winner.

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