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Claude Sonnet 4.5 vs Qwen3 14B

Claude Sonnet 4.5 leads Qwen3 14B on the Artificial Analysis Intelligence Index, 20.7 to 6.7, and Qwen3 14B costs 65.2x less per output token ($0.23 vs $15.00 per million). Updated October 22, 2026; 8 benchmarks have a result for both.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
8
Qwen3 14BQwen
Coding
No data
Overall
No data
Output $/M
$0.23
0
vs boards won of 8 shared

Claude Sonnet 4.5 or Qwen3 14B: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Qwen3 14B has none, so the two cannot be ranked on coding.

Pick Qwen3 14B for output tokens 65.2x cheaper ($0.23 vs $15.00 per million).

Shared results
8
Claude Sonnet 4.5 only
87
Qwen3 14B only
12
Like-for-like categories
5 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 14B not benchmarked.
Widest category
Agentic work, 32.2 points apart on average over 1 shared benchmark.
Widest single gap
Berkeley Function Calling Leaderboard (BFCL): Claude Sonnet 4.5 73.2% against Qwen3 14B 41.0%, 32.2 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Qwen3 14B $0.23 per million output tokens, 65.2x apart.
Context window
Claude Sonnet 4.5 takes 1M tokens, Qwen3 14B 41K.

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 14BTies
Intelligence20
Agentic work10
Reasoning20
Math10
General20
All shared boards80
CodingDirectional onlySix of these boards feed the Vibe Coding Index18 boards, none shared
Coding benchmarks for Claude Sonnet 4.5 and Qwen3 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
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 Index52.1Not measuredOnly Claude Sonnet 4.5 measured
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
LiveCodeBench (Artificial Analysis run)Not measured52.3%Only Qwen3 14B measured
SciCodeNot measured30.7%Only Qwen3 14B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured5.3%Only Qwen3 14B measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
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 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.5 and Qwen3 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
AA Intelligence Index20.76.7Claude Sonnet 4.5
Epoch Capabilities Index146.7138.2Claude 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 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
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 measured34.5%Only Qwen3 14B 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%41.0%Claude Sonnet 4.5
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Claude Sonnet 4.5 and Qwen3 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
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 measured60.4%Only Qwen3 14B measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.5%Only Qwen3 14B measured
GPQA Diamond (Epoch AI run)82.3%63.8%Claude Sonnet 4.5
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%Not measuredOnly Claude Sonnet 4.5 measured
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%49.1%Claude Sonnet 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Sonnet 4.5 and Qwen3 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
AA Math IndexNot measured58.0Only Qwen3 14B measured
AIME 2025 (Artificial Analysis run)Not measured58.0%Only Qwen3 14B measured
OTIS Mock AIME77.8%66.4%Claude Sonnet 4.5
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
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 2 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Knowledge benchmarks for Claude Sonnet 4.5 and Qwen3 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
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
MMLU Pro (Artificial Analysis run)Not measured77.4%Only Qwen3 14B 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 3 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 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
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: SVG1115Not 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 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
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 measured40.5%Only Qwen3 14B measured
Long context reasoning (AA-LCR)Not measured0.0%Only Qwen3 14B measured
DTBench83.2%64.0%Claude Sonnet 4.5
LMCA38.8%18.2%Claude Sonnet 4.5
Fiction.LiveBenchNot measured62.5%Only Qwen3 14B 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 14B
BenchmarkClaude Sonnet 4.5Qwen3 14BLeader
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 14B$0.0002Fits in one request

Qwen3 14B costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
Qwen3 14B$0.0062Exceeds the context window

Qwen3 14B costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
Qwen3 14B$0.024Exceeds the context window

Qwen3 14B 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 14B
SpecificationAnthropic Claude Sonnet 4.5Qwen3 14B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025April 28, 2025
Context window1M41K
Input $/Mtok$3.00$0.11
Output $/Mtok$15.00$0.23
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 14B for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Qwen3 14B has none, so the two cannot be ranked on coding. Pick Qwen3 14B for output tokens 65.2x cheaper ($0.23 vs $15.00 per million).

Which is cheaper, Claude Sonnet 4.5 or Qwen3 14B?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen3 14B costs $0.11 and $0.23. Cost per solved task is known for Claude Sonnet 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Qwen3 14B?

Claude Sonnet 4.5, with 1M tokens against 41K.

How many benchmarks is the Claude Sonnet 4.5 vs Qwen3 14B comparison based on?

8 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 14B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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