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Claude Sonnet 4.5 vs Qwen3.6 35B A3B

Claude Sonnet 4.5 leads Qwen3.6 35B A3B on the Artificial Analysis Intelligence Index, 20.7 to 18.2, and Qwen3.6 35B A3B costs 15.0x less per output token ($1.00 vs $15.00 per million). Updated October 22, 2026; 12 benchmarks have a result for both.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
9
Qwen3.6 35B A3BQwen
Coding
No data
Overall
45.0
Output $/M
$1.00
3
vs boards won of 12 shared

Claude Sonnet 4.5 or Qwen3.6 35B A3B: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Qwen3.6 35B A3B has none, so the two cannot be ranked on coding.

Pick Qwen3.6 35B A3B for output tokens 15.0x cheaper ($1.00 vs $15.00 per million) and work measured by GPQA Diamond (Epoch AI run) or Mystery game puzzles, where it leads.

Shared results
12
Claude Sonnet 4.5 only
83
Qwen3.6 35B A3B only
8
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 Sonnet 4.5 39.5 from 3 benchmarks, Qwen3.6 35B A3B not benchmarked.
Widest category
Coding, 15.1 points apart on average over 3 shared benchmarks.
Widest single gap
Terminal-Bench: Claude Sonnet 4.5 46.5% against Qwen3.6 35B A3B 24.6%, 21.9 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Qwen3.6 35B A3B $1.00 per million output tokens, 15.0x apart.
Context window
Claude Sonnet 4.5 takes 1M tokens, Qwen3.6 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 Sonnet 4.5BarsQwen3.6 35B A3BTies
Coding30
Intelligence20
Agentic work10
Reasoning02
Math11
General20
All shared boards93
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.141.9Claude Sonnet 4.5
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
SciCodeNot measured36.6%Only Qwen3.6 35B A3B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Qwen3.6 35B A3B measured
Terminal-Bench46.5%24.6%Claude Sonnet 4.5
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%34.5%Claude Sonnet 4.5
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding1488Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: software and IT1473Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
AA Intelligence Index20.718.2Claude Sonnet 4.5
Epoch Capabilities Index146.7143.7Claude Sonnet 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
AA Agentic Index15.813.1Claude Sonnet 4.5
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured95.3%Only Qwen3.6 35B A3B measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured84.1%Only Qwen3.6 35B A3B measured
Humanity's Last Exam (Artificial Analysis run)Not measured22.2%Only Qwen3.6 35B A3B measured
GPQA Diamond (Epoch AI run)82.3%84.8%Qwen3.6 35B A3B
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%22.0%Qwen3.6 35B A3B
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts1462Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: expert1483Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts in English1471Not measuredOnly Claude Sonnet 4.5 measured
Kagi LLM Benchmark57.9%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%86.7%Qwen3.6 35B A3B
FrontierMath, tiers 1 to 323.9%20.4%Claude Sonnet 4.5
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math1449Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: mathematical work1462Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Knowledge benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science1448Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: medicine and healthcare1444Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: legal and government1451Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: business and finance1440Not measuredOnly Claude Sonnet 4.5 measured
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
Design Arena: websites1189Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: UI components1170Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: game dev1166Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: data viz1167Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: 3D1157Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: all code categories1182Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: SVG1114Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: ASCII art1205Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 35B A3BLeader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured64.4%Only Qwen3.6 35B A3B measured
Long context reasoning (AA-LCR)Not measured71.7%Only Qwen3.6 35B A3B measured
DTBench83.2%73.9%Claude Sonnet 4.5
LMCA38.8%29.7%Claude Sonnet 4.5
Surface Evolver BenchNot measured44.4%Only Qwen3.6 35B A3B measured
LMArena Text1438Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: instruction following1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: creative writing1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: English1450Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: non-English1425Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Chinese1460Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: German1427Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Japanese1390Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Korean1402Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: French1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Spanish1458Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Russian1437Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Polish1423Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: multi-turn1465Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: longer queries1475Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: writing and language1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: entertainment and media1428Not measuredOnly Claude Sonnet 4.5 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and Qwen3.6 35B A3B
BenchmarkClaude Sonnet 4.5Qwen3.6 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 Sonnet 4.5$0.011Fits in one request
Qwen3.6 35B A3B$0.0006Fits in one request

Qwen3.6 35B A3B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
Qwen3.6 35B A3B$0.0080Fits in one request

Qwen3.6 35B A3B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
Qwen3.6 35B A3B$0.030Fits in one request

Qwen3.6 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 Sonnet 4.5 and Qwen3.6 35B A3B
SpecificationAnthropic Claude Sonnet 4.5Qwen3.6 35B A3B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025April 27, 2026
Context window1M262K
Input $/Mtok$3.00$0.10
Output $/Mtok$15.00$1.00
Coding index39.5Not benchmarked
Independent measurements behind it30
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Qwen3.6 35B A3B for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Qwen3.6 35B A3B has none, so the two cannot be ranked on coding. Pick Qwen3.6 35B A3B for output tokens 15.0x cheaper ($1.00 vs $15.00 per million) and work measured by GPQA Diamond (Epoch AI run) or Mystery game puzzles, where it leads.

Which is cheaper, Claude Sonnet 4.5 or Qwen3.6 35B A3B?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen3.6 35B A3B costs $0.10 and $1.00. Cost per solved task is known for Claude Sonnet 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Qwen3.6 35B A3B?

Claude Sonnet 4.5, with 1M tokens against 262K.

How many benchmarks is the Claude Sonnet 4.5 vs Qwen3.6 35B A3B comparison based on?

12 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 independent benchmarks and Qwen3.6 35B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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