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Claude Haiku 4.5 vs Qwen3.5-35B-A3B

Updated October 21, 2026. 38 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 Qwen3.5-35B-A3B
Claude Haiku 4.5Anthropic
Coding
49.8
Overall
16.9
Output $/M
$5.00
24
Qwen3.5-35B-A3BQwen
Coding
7.7
Overall
19.3
Output $/M
$1.00
14
vs boards won of 38 shared

Decision reading

Pick Claude Haiku 4.5 for coding: it scores 49.8 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B.

Pick Qwen3.5-35B-A3B when output tokens cost 5.0x less, or when the context window is larger, 262K against 200K tokens.

Model AClaude Haiku 4.5Anthropic49.8/1003 independent benchmarks$0.56 per solved taskModel BQwen3.5-35B-A3BQwen7.7/1001 independent benchmarkNo cost per solved task
Shared results
38
Claude Haiku 4.5 only
56
Qwen3.5-35B-A3B only
7
Like-for-like categories
7 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, Qwen3.5-35B-A3B 7.7 from 1 benchmark.
Widest category
Coding, 8.0 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: React: Claude Haiku 4.5 1326 against Qwen3.5-35B-A3B 1238, 14.7 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Qwen3.5-35B-A3B $1.00 per million output tokens, 5.0x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Qwen3.5-35B-A3B 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 4.5BarsQwen3.5-35B-A3BTies
Coding50
Intelligence02
Agentic work01
Reasoning31
Math12
Knowledge22
General136
All shared boards2414
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Haiku 4.5 and Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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 WebDev13301254Claude Haiku 4.5
AA Coding Index43.9Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Vals AI)41.2%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Vibe Code Bench (Vals AI)11.4%Not measuredOnly Claude Haiku 4.5 measured
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
Terminal-Bench Hard (Artificial Analysis run)Not measured26.5%Only Qwen3.5-35B-A3B measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: coding14541410Claude Haiku 4.5
LMArena Text: software and IT14391415Claude Haiku 4.5
LMArena WebDev: React13261238Claude Haiku 4.5
LMArena WebDev: HTML13181301Claude Haiku 4.5
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 Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
AA Intelligence Index16.919.3Qwen3.5-35B-A3B
Epoch Capabilities Index142.2142.5Qwen3.5-35B-A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Haiku 4.5 and Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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%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 measured89.2%Only Qwen3.5-35B-A3B measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459$463Qwen3.5-35B-A3B
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for Claude Haiku 4.5 and Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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 measured84.5%Only Qwen3.5-35B-A3B measured
Humanity's Last Exam (Artificial Analysis run)Not measured21.0%Only Qwen3.5-35B-A3B measured
GPQA Diamond (Epoch AI run)71.2%83.5%Qwen3.5-35B-A3B
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
LMArena Text: hard prompts14211400Claude Haiku 4.5
LMArena Text: expert14431408Claude Haiku 4.5
LMArena Text: hard prompts in English14351411Claude Haiku 4.5
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Claude Haiku 4.5 and Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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%70.0%Qwen3.5-35B-A3B
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981404Qwen3.5-35B-A3B
LMArena Text: mathematical work14301410Claude Haiku 4.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Claude Haiku 4.5 and Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%Not measuredOnly Claude Haiku 4.5 measured
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
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: science14061413Qwen3.5-35B-A3B
LMArena Text: medicine and healthcare13941421Qwen3.5-35B-A3B
LMArena Text: legal and government14001399Claude Haiku 4.5
LMArena Text: business and finance14001394Claude Haiku 4.5
Neither model has a result on the other 4 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 Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index136
General benchmarks for Claude Haiku 4.5 and Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
IFBenchNot measured72.5%Only Qwen3.5-35B-A3B measured
Long context reasoning (AA-LCR)Not measured72.0%Only Qwen3.5-35B-A3B measured
DTBench73.6%80.0%Qwen3.5-35B-A3B
LMCA30.9%29.5%Claude Haiku 4.5
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971395Claude Haiku 4.5
LMArena Text: instruction following14141379Claude Haiku 4.5
LMArena Text: creative writing13711347Claude Haiku 4.5
LMArena Text: English14141407Claude Haiku 4.5
LMArena Text: non-English13771378Qwen3.5-35B-A3B
LMArena Text: Chinese14181457Qwen3.5-35B-A3B
LMArena Text: German13741367Claude Haiku 4.5
LMArena Text: Japanese13381326Claude Haiku 4.5
LMArena Text: Korean13461355Qwen3.5-35B-A3B
LMArena Text: French14111412Qwen3.5-35B-A3B
LMArena Text: Spanish14211390Claude Haiku 4.5
LMArena Text: Russian13811376Claude Haiku 4.5
LMArena Text: Polish13431385Qwen3.5-35B-A3B
LMArena Text: multi-turn14091390Claude Haiku 4.5
LMArena Text: longer queries14271389Claude Haiku 4.5
LMArena Text: writing and language13861365Claude Haiku 4.5
LMArena Text: entertainment and media13691347Claude Haiku 4.5
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
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 Qwen3.5-35B-A3B
BenchmarkClaude Haiku 4.5Qwen3.5-35B-A3BLeader
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
Qwen3.5-35B-A3B$0.0006Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Qwen3.5-35B-A3B$0.010Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Qwen3.5-35B-A3B$0.038Fits in one request

Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B
SpecificationAnthropic Claude Haiku 4.5Qwen3.5-35B-A3B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025February 25, 2026
Context window200K262K
Input $/Mtok$1.00$0.14
Output $/Mtok$5.00$1.00
Coding index49.87.7
Independent measurements behind it31
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Qwen3.5-35B-A3B for coding?

Pick Claude Haiku 4.5 for coding: it scores 49.8 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B. Pick Qwen3.5-35B-A3B when output tokens cost 5.0x less, or when the context window is larger, 262K against 200K tokens.

Which is cheaper, Claude Haiku 4.5 or Qwen3.5-35B-A3B?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.5-35B-A3B costs $0.14 and $1.00. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B, with 262K tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Qwen3.5-35B-A3B comparison based on?

38 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 Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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