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Qwen3 32B vs Qwen3.5 Plus 2026-02-15

Qwen3 32B costs 3.9x less per output token than Qwen3.5 Plus 2026-02-15 ($0.40 vs $1.56 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Qwen3 32B Replace Qwen3.5 Plus 2026-02-15
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
Qwen3.5 Plus 2026-02-15Qwen
Coding
No data
Overall
No data
Output $/M
$1.56
vs $0.40 vs $1.56 per 1M output tokens. Qwen3 32B is 3.9x cheaper.

Qwen3 32B or Qwen3.5 Plus 2026-02-15: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Qwen3 32B for output tokens 3.9x cheaper ($0.40 vs $1.56 per million).

Model AQwen3 32BQwenNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5 Plus 2026-02-15QwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Qwen3 32B has results on Aider polyglot, LiveCodeBench (Artificial Analysis run) and SciCode; Qwen3.5 Plus 2026-02-15 on Design Arena: websites, Design Arena: UI components and Design Arena: game dev. Compare them on price and context instead.

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
Qwen3 32B not benchmarked, Qwen3.5 Plus 2026-02-15 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Qwen3 32B $0.40 against Qwen3.5 Plus 2026-02-15 $1.56 per million output tokens, 3.9x apart.
Context window
Qwen3 32B takes 131K tokens, Qwen3.5 Plus 2026-02-15 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards measured
Coding benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
Aider polyglot40.0%Not measuredOnly Qwen3 32B measured
LiveCodeBench (Artificial Analysis run)54.6%Not measuredOnly Qwen3 32B measured
SciCode36.0%Not measuredOnly Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)3.0%Not measuredOnly Qwen3 32B measured
LMArena Text: coding1357Not measuredOnly Qwen3 32B measured
LMArena Text: software and IT1366Not measuredOnly Qwen3 32B measured
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
AA Intelligence Index7.3Not measuredOnly Qwen3 32B measured
Epoch Capabilities Index138.4Not measuredOnly Qwen3 32B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Agentic work benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
τ²-Bench Telecom29.8%Not measuredOnly Qwen3 32B measured
Berkeley Function Calling Leaderboard (BFCL)48.7%Not measuredOnly Qwen3 32B measured
BrowseComp-Plus10.7%Not measuredOnly Qwen3 32B measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Reasoning benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
GPQA Diamond (Artificial Analysis run)66.8%Not measuredOnly Qwen3 32B measured
Humanity's Last Exam (Artificial Analysis run)7.4%Not measuredOnly Qwen3 32B measured
GPQA Diamond (Epoch AI run)65.7%Not measuredOnly Qwen3 32B measured
LMArena Text: hard prompts1334Not measuredOnly Qwen3 32B measured
LMArena Text: expert1362Not measuredOnly Qwen3 32B measured
LMArena Text: hard prompts in English1350Not measuredOnly Qwen3 32B measured
Kagi LLM Benchmark48.7%Not measuredOnly Qwen3 32B measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Math benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
AA Math Index73.0Not measuredOnly Qwen3 32B measured
AIME 2025 (Artificial Analysis run)73.0%Not measuredOnly Qwen3 32B measured
OTIS Mock AIME66.9%Not measuredOnly Qwen3 32B measured
LMArena Text: math1399Not measuredOnly Qwen3 32B measured
LMArena Text: mathematical work1420Not measuredOnly Qwen3 32B measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Knowledge benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
MMLU Pro (Artificial Analysis run)79.8%Not measuredOnly Qwen3 32B measured
LMArena Text: science1372Not measuredOnly Qwen3 32B measured
LMArena Text: medicine and healthcare1368Not measuredOnly Qwen3 32B measured
LMArena Text: legal and government1324Not measuredOnly Qwen3 32B measured
LMArena Text: business and finance1318Not measuredOnly Qwen3 32B measured
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
Design Arena: websitesNot measured1187Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: UI componentsNot measured1175Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: game devNot measured1105Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: data vizNot measured1135Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: 3DNot measured1118Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: all code categoriesNot measured1166Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: SVGNot measured1107Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: ASCII artNot measured1094Only Qwen3.5 Plus 2026-02-15 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
General benchmarks for Qwen3 32B and Qwen3.5 Plus 2026-02-15
BenchmarkQwen3 32BQwen3.5 Plus 2026-02-15Leader
IFBench36.3%Not measuredOnly Qwen3 32B measured
Long context reasoning (AA-LCR)0.0%Not measuredOnly Qwen3 32B measured
DTBench67.5%Not measuredOnly Qwen3 32B measured
LMCA17.3%Not measuredOnly Qwen3 32B measured
Fiction.LiveBench74.2%Not measuredOnly Qwen3 32B measured
LMArena Text1340Not measuredOnly Qwen3 32B measured
LMArena Text: instruction following1305Not measuredOnly Qwen3 32B measured
LMArena Text: creative writing1297Not measuredOnly Qwen3 32B measured
LMArena Text: English1359Not measuredOnly Qwen3 32B measured
LMArena Text: non-English1317Not measuredOnly Qwen3 32B measured
LMArena Text: Chinese1357Not measuredOnly Qwen3 32B measured
LMArena Text: German1341Not measuredOnly Qwen3 32B measured
LMArena Text: Russian1311Not measuredOnly Qwen3 32B measured
LMArena Text: multi-turn1331Not measuredOnly Qwen3 32B measured
LMArena Text: longer queries1327Not measuredOnly Qwen3 32B measured
LMArena Text: writing and language1298Not measuredOnly Qwen3 32B measured
LMArena Text: entertainment and media1279Not measuredOnly Qwen3 32B measured
Neither model has a result on the other 31 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

Qwen3 32B$0.0003Fits in one request
Qwen3.5 Plus 2026-02-15$0.0010Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

Qwen3 32B$0.0082Fits in one request
Qwen3.5 Plus 2026-02-15$0.018Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

Qwen3 32B$0.032Exceeds the context window
Qwen3.5 Plus 2026-02-15$0.068Fits in one request

Qwen3 32B 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 Qwen3 32B and Qwen3.5 Plus 2026-02-15
SpecificationQwen3 32BQwen3.5 Plus 2026-02-15
MakerQwenQwen
WeightsOpen weightsNo public weights listed
ReleasedApril 28, 2025February 16, 2026
Context window131K1M
Input $/Mtok$0.14$0.26
Output $/Mtok$0.40$1.56
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 32B better than Qwen3.5 Plus 2026-02-15 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 32B for output tokens 3.9x cheaper ($0.40 vs $1.56 per million).

Which is cheaper, Qwen3 32B or Qwen3.5 Plus 2026-02-15?

Qwen3 32B costs $0.14 per million input tokens and $0.40 per million output tokens; Qwen3.5 Plus 2026-02-15 costs $0.26 and $1.56. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3 32B or Qwen3.5 Plus 2026-02-15?

Qwen3.5 Plus 2026-02-15, with 1M tokens against 131K.

Has any benchmark tested both Qwen3 32B and Qwen3.5 Plus 2026-02-15?

No benchmark has tested both yet. Qwen3 32B has results on Aider polyglot, LiveCodeBench (Artificial Analysis run) and SciCode; Qwen3.5 Plus 2026-02-15 on Design Arena: websites, Design Arena: UI components and Design Arena: game dev. Compare them on price and context instead. Data as of October 22, 2026.

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