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Claude Haiku 4.5 vs Qwen3.8 27B

Updated October 21, 2026. 65 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Haiku 4.5 Replace Qwen3.8 27B
Claude Haiku 4.5Anthropic
Coding
49.8
Overall
16.9
Output $/M
$5.00
3
Qwen3.8 27BQwen
Coding
73.6
Overall
33.7
Output $/M
$1.35
61
vs boards won of 65 shared, 1 tied

Decision reading

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 2 benchmarks against 3.

Pick Claude Haiku 4.5 when a solved task costs $0.56 against $1.26, or when what matters is LiveBench browser or MedCode (Vals AI), where it leads.

Model AClaude Haiku 4.5Anthropic49.8/1003 independent benchmarks$0.56 per solved taskModel BQwen3.8 27BQwen73.6/1002 independent benchmarks$1.26 per solved task
Shared results
65
Claude Haiku 4.5 only
29
Qwen3.8 27B only
20
Like-for-like categories
8 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 Haiku 4.5 49.8 from 3 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
Widest category
Coding, 25.9 points apart on average over 13 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Haiku 4.5 11.4% against Qwen3.8 27B 64.8%, 53.5 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Qwen3.8 27B $1.35 per million output tokens, 3.7x apart.
Context window
Claude Haiku 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 Haiku 4.5BarsQwen3.8 27BTies
Coding0121 tie
Intelligence02
Agentic work17
Reasoning08
Math02
Knowledge18
Web design01
General121
All shared boards3611 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
Coding benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 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%86.8%Qwen3.8 27B
LMArena WebDev13301593Qwen3.8 27B
AA Coding Index43.968.1Qwen3.8 27B
LiveCodeBench (Vals AI)41.2%84.0%Qwen3.8 27B
SWE-bench Verified (Vals AI)66.6%86.0%Qwen3.8 27B
Vibe Code Bench (Vals AI)11.4%64.8%Qwen3.8 27B
Code migration (Vals AI)7.5%14.2%Qwen3.8 27B
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)Not measured39.1%Only Qwen3.8 27B measured
Terminal-Bench 2.1 (Vals AI)43.8%58.4%Qwen3.8 27B
SkillsBench (Vals AI)Not measured38.1%Only Qwen3.8 27B measured
CyberBench (Vals AI)Not measured67.8%Only Qwen3.8 27B measured
SciCodeNot measured46.6%Only Qwen3.8 27B measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: coding14541483Qwen3.8 27B
LMArena Text: software and IT14391478Qwen3.8 27B
LMArena WebDev: React13261602Qwen3.8 27B
LMArena WebDev: HTML13181570Qwen3.8 27B
LMArena WebDev: from an imageNot measured1577Only Qwen3.8 27B measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 27BLeader
AA Intelligence Index16.933.7Qwen3.8 27B
Epoch Capabilities Index142.2151.7Qwen3.8 27B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index17
Agentic work benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 27BLeader
AA Agentic Index8.045.8Qwen3.8 27B
LiveBench research42.2%59.4%Qwen3.8 27B
LiveBench browser40.0%32.0%Claude Haiku 4.5
LiveBench long agentic11.1%27.9%Qwen3.8 27B
Finance Agent (Vals AI)31.0%48.5%Qwen3.8 27B
Tax Agent Bench (Vals AI)5.9%30.9%Qwen3.8 27B
Legal Research Bench (Vals AI)10.6%36.1%Qwen3.8 27B
Excel Modeling Benchmark (Vals AI)22.7%59.7%Qwen3.8 27B
Terminal-Bench-Science (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
APEX-AgentsNot measured47.5%Only Qwen3.8 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
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 27BLeader
GPQA Diamond72.2%88.9%Qwen3.8 27B
LiveBench reasoning61.7%80.0%Qwen3.8 27B
MMMU Pro (Vals AI)46.1%83.9%Qwen3.8 27B
GPQA Diamond (Artificial Analysis run)Not measured90.5%Only Qwen3.8 27B measured
Humanity's Last Exam (Artificial Analysis run)Not measured33.9%Only Qwen3.8 27B measured
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI47.7%87.5%Qwen3.8 27B
ARC-AGI-24.0%42.4%Qwen3.8 27B
Chess puzzles8.0%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts14211459Qwen3.8 27B
LMArena Text: expert14431479Qwen3.8 27B
LMArena Text: hard prompts in English14351461Qwen3.8 27B
LMArena Vision: diagramsNot measured1285Only Qwen3.8 27B measured
LMArena Vision: homeworkNot measured1295Only Qwen3.8 27B measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 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%Not measuredOnly Claude Haiku 4.5 measured
ProofBenchNot measured16.0%Only Qwen3.8 27B measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981455Qwen3.8 27B
LMArena Text: mathematical work14301458Qwen3.8 27B
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
Knowledge benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 27BLeader
MMLU Pro78.7%84.3%Qwen3.8 27B
LegalBench (Vals AI)81.2%82.4%Qwen3.8 27B
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%70.8%Qwen3.8 27B
MortgageTax (Vals AI)62.2%64.9%Qwen3.8 27B
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%28.7%Claude Haiku 4.5
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science14061467Qwen3.8 27B
LMArena Text: medicine and healthcare13941437Qwen3.8 27B
LMArena Text: legal and government14001447Qwen3.8 27B
LMArena Text: business and finance14001438Qwen3.8 27B
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 27BLeader
Design Arena: websites1122Not measuredOnly Claude Haiku 4.5 measured
Design Arena: UI components1100Not measuredOnly Claude Haiku 4.5 measured
Design Arena: game dev1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: data viz1124Not measuredOnly Claude Haiku 4.5 measured
Design Arena: 3D1072Not measuredOnly Claude Haiku 4.5 measured
Design Arena: all code categories1115Not measuredOnly Claude Haiku 4.5 measured
Design Arena: SVG1025Not measuredOnly Claude Haiku 4.5 measured
Design Arena: ASCII art1139Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%75.9%Qwen3.8 27B
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for Claude Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 4.5Qwen3.8 27BLeader
LiveBench data analysis59.3%76.6%Qwen3.8 27B
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%52.4%Qwen3.8 27B
MedScribe (Vals AI)85.2%83.8%Claude Haiku 4.5
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
Long context reasoning (AA-LCR)Not measured82.0%Only Qwen3.8 27B measured
DTBench73.6%88.0%Qwen3.8 27B
LMCA30.9%41.4%Qwen3.8 27B
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971440Qwen3.8 27B
LMArena Text: instruction following14141436Qwen3.8 27B
LMArena Text: creative writing13711383Qwen3.8 27B
LMArena VisionNot measured1269Only Qwen3.8 27B measured
LMArena Text: English14141448Qwen3.8 27B
LMArena Text: non-English13771428Qwen3.8 27B
LMArena Text: Chinese14181501Qwen3.8 27B
LMArena Text: German13741443Qwen3.8 27B
LMArena Text: Japanese13381387Qwen3.8 27B
LMArena Text: Korean13461384Qwen3.8 27B
LMArena Text: French14111465Qwen3.8 27B
LMArena Text: Spanish14211449Qwen3.8 27B
LMArena Text: Russian13811415Qwen3.8 27B
LMArena Text: Polish13431439Qwen3.8 27B
LMArena Text: multi-turn14091440Qwen3.8 27B
LMArena Text: longer queries14271448Qwen3.8 27B
LMArena Text: writing and language13861405Qwen3.8 27B
LMArena Text: entertainment and media13691393Qwen3.8 27B
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 Document1420Not measuredOnly Claude Haiku 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 Haiku 4.5 and Qwen3.8 27B
BenchmarkClaude Haiku 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 Haiku 4.5$0.0035Fits in one request
Qwen3.8 27B$0.0007Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Qwen3.8 27B$0.0060Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Qwen3.8 27B$0.021Fits 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 Haiku 4.5 and Qwen3.8 27B
SpecificationAnthropic Claude Haiku 4.5Qwen3.8 27B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025August 14, 2026
Context window200K1M
Input $/Mtok$1.00$0.04
Output $/Mtok$5.00$1.35
Coding index49.873.6
Independent measurements behind it32
Cost per solved task$0.56$1.26
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 2 benchmarks against 3. Pick Claude Haiku 4.5 when a solved task costs $0.56 against $1.26, or when what matters is LiveBench browser or MedCode (Vals AI), where it leads.

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

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Qwen3.8 27B $1.26.

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

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

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

65 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 3 independent benchmarks and Qwen3.8 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-qwen3-8-27b">LLMBenchmark.ai, Claude Haiku 4.5 vs Qwen3.8 27B</a></p>