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Claude Haiku 4.5 vs Qwen3.6 27B

Qwen3.6 27B leads Claude Haiku 4.5 on coding, 36.8 to 35.6 on the Vibe Coding Index, and Qwen3.6 27B costs 1.9x less per output token ($2.70 vs $5.00 per million). Updated October 23, 2026; 16 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
2
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
14
vs boards won of 16 shared

Claude Haiku 4.5 or Qwen3.6 27B: which to pick

Claude Haiku 4.5 and Qwen3.6 27B are level for coding, 35.6 against 36.8 on the Vibe Coding Index, so price and context decide.

Pick Claude Haiku 4.5 for a lower cost per solved task ($0.56 against $1.30) and work measured by CaseLaw (Vals AI) or EQ-Bench 4, where it leads. Pick Qwen3.6 27B for output tokens 1.9x cheaper ($2.70 vs $5.00 per million) and a larger context window (262K against 200K tokens).

Shared results
16
Claude Haiku 4.5 only
82
Qwen3.6 27B only
9
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 Haiku 4.5 35.6 from 4 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Math, 24.4 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: Claude Haiku 4.5 66.7% against Qwen3.6 27B 91.1%, 24.4 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Qwen3.6 27B $2.70 per million output tokens, 1.9x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Qwen3.6 27B 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 Haiku 4.5BarsQwen3.6 27BTies
Coding03
Intelligence02
Agentic work01
Reasoning01
Math01
Knowledge13
General13
All shared boards214
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
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 WebDev1331Not measuredOnly Claude Haiku 4.5 measured
AA Coding Index43.953.7Qwen3.6 27B
LiveCodeBench (Vals AI)41.2%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Verified (Vals AI)66.6%70.0%Qwen3.6 27B
Vibe Code Bench (Vals AI)11.4%11.9%Qwen3.6 27B
Code migration (Vals AI)7.5%Not measuredOnly Claude Haiku 4.5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 2.1 (Vals AI)43.8%Not measuredOnly Claude Haiku 4.5 measured
SciCodeNot measured42.8%Only Qwen3.6 27B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Qwen3.6 27B measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: coding1454Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: software and IT1439Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: React1326Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: HTML1318Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
AA Intelligence Index16.921.4Qwen3.6 27B
Epoch Capabilities Index142.2146.2Qwen3.6 27B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
AA Agentic Index8.018.5Qwen3.6 27B
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%Not measuredOnly Claude Haiku 4.5 measured
Tax Agent Bench (Vals AI)5.9%Not measuredOnly Claude Haiku 4.5 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly Claude Haiku 4.5 measured
Excel Modeling Benchmark (Vals AI)22.7%Not measuredOnly Claude Haiku 4.5 measured
τ²-Bench TelecomNot measured94.2%Only Qwen3.6 27B measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
MCP Atlas40.2%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 index01
Reasoning benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
GPQA Diamond72.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%Not measuredOnly Claude Haiku 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured84.2%Only Qwen3.6 27B measured
Humanity's Last Exam (Artificial Analysis run)Not measured23.1%Only Qwen3.6 27B measured
GPQA Diamond (Epoch AI run)71.2%85.9%Qwen3.6 27B
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%Not measuredOnly Claude Haiku 4.5 measured
Mystery game puzzlesNot measured7.0%Only Qwen3.6 27B measured
LMArena Text: hard prompts1420Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: expert1443Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts in English1435Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%91.1%Qwen3.6 27B
FrontierMath, tiers 1 to 3Not measured35.1%Only Qwen3.6 27B measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math1398Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: mathematical work1430Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
MMLU Pro78.7%Not measuredOnly Claude Haiku 4.5 measured
LegalBench (Vals AI)81.2%Not measuredOnly Claude Haiku 4.5 measured
CaseLaw (Vals AI)56.5%53.2%Claude Haiku 4.5
CorpFin (Vals AI)60.6%62.3%Qwen3.6 27B
TaxEval (Vals AI)67.5%71.3%Qwen3.6 27B
MortgageTax (Vals AI)62.2%68.3%Qwen3.6 27B
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science1406Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: medicine and healthcare1394Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: legal and government1400Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: business and finance1400Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
Design Arena: websites1122Not measuredOnly Claude Haiku 4.5 measured
Design Arena: UI components1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: game dev1096Not measuredOnly Claude Haiku 4.5 measured
Design Arena: data viz1124Not measuredOnly Claude Haiku 4.5 measured
Design Arena: 3D1073Not measuredOnly Claude Haiku 4.5 measured
Design Arena: all code categories1114Not measuredOnly Claude Haiku 4.5 measured
Design Arena: SVG1025Not measuredOnly Claude Haiku 4.5 measured
Design Arena: ASCII art1140Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index13
General benchmarks for Claude Haiku 4.5 and Qwen3.6 27B
BenchmarkClaude Haiku 4.5Qwen3.6 27BLeader
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%45.6%Qwen3.6 27B
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
IFBenchNot measured67.6%Only Qwen3.6 27B measured
Long context reasoning (AA-LCR)Not measured77.3%Only Qwen3.6 27B measured
DTBench73.6%78.1%Qwen3.6 27B
LMCA30.9%34.5%Qwen3.6 27B
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text1397Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: instruction following1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: creative writing1371Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: English1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: non-English1377Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Chinese1418Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: German1374Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Japanese1338Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Korean1346Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: French1410Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Spanish1422Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Russian1381Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn1409Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: longer queries1427Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: writing and language1386Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: entertainment and media1369Not measuredOnly Claude Haiku 4.5 measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
MultiChallenge50.5%Not measuredOnly Claude Haiku 4.5 measured
EQ-Bench 410641026Claude Haiku 4.5
Neither model has a result on the other 18 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 27B
BenchmarkClaude Haiku 4.5Qwen3.6 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 Haiku 4.5$0.0035Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Qwen3.6 27B$0.117Fits in one request

Qwen3.6 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 Haiku 4.5 and Qwen3.6 27B
SpecificationAnthropic Claude Haiku 4.5Qwen3.6 27B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025April 27, 2026
Context window200K262K
Input $/Mtok$1.00$0.45
Output $/Mtok$5.00$2.70
Coding index35.636.8
Independent measurements behind it42
Cost per solved task$0.56$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Qwen3.6 27B for coding?

Claude Haiku 4.5 and Qwen3.6 27B are level for coding, 35.6 against 36.8 on the Vibe Coding Index, so price and context decide. Pick Claude Haiku 4.5 for a lower cost per solved task ($0.56 against $1.30) and work measured by CaseLaw (Vals AI) or EQ-Bench 4, where it leads. Pick Qwen3.6 27B for output tokens 1.9x cheaper ($2.70 vs $5.00 per million) and a larger context window (262K against 200K tokens).

Which is cheaper, Claude Haiku 4.5 or Qwen3.6 27B?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Qwen3.6 27B $1.30.

Which has the bigger context window, Claude Haiku 4.5 or Qwen3.6 27B?

Qwen3.6 27B, with 262K tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Qwen3.6 27B comparison based on?

16 benchmarks have a result for both models as of October 23, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Qwen3.6 27B's on 2. 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-qwen3-6-27b">LLMBenchmark.ai, Claude Haiku 4.5 vs Qwen3.6 27B</a></p>