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Claude Haiku 4.5 vs Qwen3.6 Plus

Qwen3.6 Plus leads Claude Haiku 4.5 on coding, 44.1 to 35.6 on the Vibe Coding Index, and Qwen3.6 Plus costs 2.6x less per output token ($1.95 vs $5.00 per million). Updated October 22, 2026; 72 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
3
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
68
vs boards won of 72 shared, 1 tied

Claude Haiku 4.5 or Qwen3.6 Plus: which to pick

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5, though on 3 benchmarks against 4.

Pick Claude Haiku 4.5 for a lower cost per solved task ($0.56 against $1.19) and work measured by CaseLaw (Vals AI) or Design Arena: ASCII art, where it leads.

Shared results
72
Claude Haiku 4.5 only
23
Qwen3.6 Plus only
11
Like-for-like categories
8 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 Haiku 4.5 35.6 from 4 benchmarks, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Web design, 13.9 points apart on average over 8 shared benchmarks.
Widest single gap
LiveCodeBench (Vals AI): Claude Haiku 4.5 41.2% against Qwen3.6 Plus 86.0%, 44.8 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Qwen3.6 Plus $1.95 per million output tokens, 2.6x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Qwen3.6 Plus 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 Haiku 4.5BarsQwen3.6 PlusTies
Coding0111 tie
Intelligence02
Agentic work05
Reasoning07
Math04
Knowledge111
Web design17
General121
All shared boards3681 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev13301461Qwen3.6 Plus
AA Coding Index43.954.5Qwen3.6 Plus
LiveCodeBench (Vals AI)41.2%86.0%Qwen3.6 Plus
SWE-bench Verified (Vals AI)66.6%73.4%Qwen3.6 Plus
Vibe Code Bench (Vals AI)11.4%25.6%Qwen3.6 Plus
Code migration (Vals AI)7.5%11.1%Qwen3.6 Plus
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)43.8%53.2%Qwen3.6 Plus
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Qwen3.6 Plus measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
ALE-BenchNot measured670.1Only Qwen3.6 Plus measured
LMArena Text: coding14541467Qwen3.6 Plus
LMArena Text: software and IT14391462Qwen3.6 Plus
LMArena WebDev: React13261454Qwen3.6 Plus
LMArena WebDev: HTML13181463Qwen3.6 Plus
LMArena WebDev: from an imageNot measured1472Only Qwen3.6 Plus measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
AA Intelligence Index16.927.0Qwen3.6 Plus
Epoch Capabilities Index142.2147.3Qwen3.6 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%40.9%Qwen3.6 Plus
Tax Agent Bench (Vals AI)5.9%7.7%Qwen3.6 Plus
Legal Research Bench (Vals AI)10.6%14.9%Qwen3.6 Plus
Excel Modeling Benchmark (Vals AI)22.7%32.9%Qwen3.6 Plus
τ²-Bench TelecomNot measured97.7%Only Qwen3.6 Plus measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459$5,115Qwen3.6 Plus
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
GPQA Diamond72.2%87.4%Qwen3.6 Plus
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%84.2%Qwen3.6 Plus
GPQA Diamond (Artificial Analysis run)Not measured88.2%Only Qwen3.6 Plus measured
Humanity's Last Exam (Artificial Analysis run)Not measured27.8%Only Qwen3.6 Plus measured
GPQA Diamond (Epoch AI run)71.2%88.4%Qwen3.6 Plus
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%14.0%Qwen3.6 Plus
Mystery game puzzlesNot measured12.0%Only Qwen3.6 Plus measured
LMArena Text: hard prompts14211448Qwen3.6 Plus
LMArena Text: expert14431454Qwen3.6 Plus
LMArena Text: hard prompts in English14351455Qwen3.6 Plus
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
AIME82.7%94.6%Qwen3.6 Plus
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%93.3%Qwen3.6 Plus
FrontierMath, tiers 1 to 3Not measured38.2%Only Qwen3.6 Plus measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981449Qwen3.6 Plus
LMArena Text: mathematical work14301448Qwen3.6 Plus
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index111
Knowledge benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
MMLU Pro78.7%87.7%Qwen3.6 Plus
LegalBench (Vals AI)81.2%84.2%Qwen3.6 Plus
CaseLaw (Vals AI)56.5%51.5%Claude Haiku 4.5
CorpFin (Vals AI)60.6%61.9%Qwen3.6 Plus
TaxEval (Vals AI)67.5%74.7%Qwen3.6 Plus
MortgageTax (Vals AI)62.2%68.0%Qwen3.6 Plus
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%36.9%Qwen3.6 Plus
SimpleQA Verified13.2%44.1%Qwen3.6 Plus
LMArena Text: science14061439Qwen3.6 Plus
LMArena Text: medicine and healthcare13941442Qwen3.6 Plus
LMArena Text: legal and government14001437Qwen3.6 Plus
LMArena Text: business and finance14001430Qwen3.6 Plus
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
Design Arena: websites11221243Qwen3.6 Plus
Design Arena: UI components10971230Qwen3.6 Plus
Design Arena: game dev10971211Qwen3.6 Plus
Design Arena: data viz11241228Qwen3.6 Plus
Design Arena: 3D10711202Qwen3.6 Plus
Design Arena: all code categories11141236Qwen3.6 Plus
Design Arena: SVG10251161Qwen3.6 Plus
Design Arena: ASCII art11401113Claude Haiku 4.5
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%44.9%Qwen3.6 Plus
MedScribe (Vals AI)85.2%77.0%Claude Haiku 4.5
Vals Multimodal Index42.9%51.5%Qwen3.6 Plus
IFBenchNot measured75.2%Only Qwen3.6 Plus measured
Long context reasoning (AA-LCR)Not measured78.3%Only Qwen3.6 Plus measured
DTBench73.6%81.9%Qwen3.6 Plus
LMCA30.9%33.1%Qwen3.6 Plus
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971436Qwen3.6 Plus
LMArena Text: instruction following14141424Qwen3.6 Plus
LMArena Text: creative writing13711404Qwen3.6 Plus
LMArena Text: English14141445Qwen3.6 Plus
LMArena Text: non-English13771424Qwen3.6 Plus
LMArena Text: Chinese14181477Qwen3.6 Plus
LMArena Text: German13741451Qwen3.6 Plus
LMArena Text: Japanese13381390Qwen3.6 Plus
LMArena Text: Korean13461379Qwen3.6 Plus
LMArena Text: French14111455Qwen3.6 Plus
LMArena Text: Spanish14211432Qwen3.6 Plus
LMArena Text: Russian13811434Qwen3.6 Plus
LMArena Text: Polish13431433Qwen3.6 Plus
LMArena Text: multi-turn14091438Qwen3.6 Plus
LMArena Text: longer queries14271439Qwen3.6 Plus
LMArena Text: writing and language13861418Qwen3.6 Plus
LMArena Text: entertainment and media13691402Qwen3.6 Plus
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 4.5 and Qwen3.6 Plus
BenchmarkClaude Haiku 4.5Qwen3.6 PlusLeader
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 Haiku 4.5$0.0035Fits in one request
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus 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 Haiku 4.5 and Qwen3.6 Plus
SpecificationAnthropic Claude Haiku 4.5Qwen3.6 Plus
MakerAnthropicQwen
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025April 2, 2026
Context window200K1M
Input $/Mtok$1.00$0.325
Output $/Mtok$5.00$1.95
Coding index35.644.1
Independent measurements behind it43
Cost per solved task$0.56$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Qwen3.6 Plus for coding?

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5, though on 3 benchmarks against 4. Pick Claude Haiku 4.5 for a lower cost per solved task ($0.56 against $1.19) and work measured by CaseLaw (Vals AI) or Design Arena: ASCII art, where it leads.

Which is cheaper, Claude Haiku 4.5 or Qwen3.6 Plus?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Qwen3.6 Plus $1.19.

Which has the bigger context window, Claude Haiku 4.5 or Qwen3.6 Plus?

Qwen3.6 Plus, with 1M tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Qwen3.6 Plus comparison based on?

72 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-haiku-4-5-vs-qwen3-6-plus">LLMBenchmark.ai, Claude Haiku 4.5 vs Qwen3.6 Plus</a></p>