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GLM 4.5 Air vs Qwen3.5-Flash

Qwen3.5-Flash costs 4.2x less per output token than GLM 4.5 Air ($0.26 vs $1.10 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace GLM 4.5 Air Replace Qwen3.5-Flash
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
1
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
27
vs boards won of 28 shared

GLM 4.5 Air or Qwen3.5-Flash: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding.

Pick GLM 4.5 Air for work measured by LMArena Text: creative writing, where it leads.

Model AGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
28
GLM 4.5 Air only
21
Qwen3.5-Flash only
27
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
GLM 4.5 Air not benchmarked, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
Reasoning, 4.6 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: GLM 4.5 Air 1370 against Qwen3.5-Flash 1407, 6.2 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against Qwen3.5-Flash $0.26 per million output tokens, 4.2x apart.
Context window
GLM 4.5 Air takes 131K tokens, Qwen3.5-Flash 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
CategoryGLM 4.5 AirBarsQwen3.5-FlashTies
Coding02
Reasoning03
Math02
Knowledge04
General116
All shared boards127
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
LMArena WebDevNot measured1244Only Qwen3.5-Flash measured
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
LiveCodeBench (Artificial Analysis run)68.4%Not measuredOnly GLM 4.5 Air measured
Terminal-Bench Hard (Artificial Analysis run)20.5%Not measuredOnly GLM 4.5 Air measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
ALE-BenchNot measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding13971412Qwen3.5-Flash
LMArena Text: software and IT14011416Qwen3.5-Flash
LMArena WebDev: ReactNot measured1229Only Qwen3.5-Flash measured
LMArena WebDev: HTMLNot measured1291Only Qwen3.5-Flash measured
Neither model has a result on the other 32 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
AA Intelligence Index11.1Not measuredOnly GLM 4.5 Air measured
Epoch Capabilities IndexNot measured143.5Only Qwen3.5-Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
τ²-Bench Telecom46.5%Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
GPQA DiamondNot measured82.8%Only Qwen3.5-Flash measured
MMMU Pro (Vals AI)Not measured81.9%Only Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)73.3%Not measuredOnly GLM 4.5 Air measured
Humanity's Last Exam (Artificial Analysis run)7.0%Not measuredOnly GLM 4.5 Air measured
GPQA Diamond (Epoch AI run)Not measured82.3%Only Qwen3.5-Flash measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzlesNot measured20.0%Only Qwen3.5-Flash measured
LMArena Text: hard prompts13791403Qwen3.5-Flash
LMArena Text: expert13701407Qwen3.5-Flash
LMArena Text: hard prompts in English13881409Qwen3.5-Flash
Kagi LLM Benchmark43.0%Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
AA Math Index80.7Not measuredOnly GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)80.7%Not measuredOnly GLM 4.5 Air measured
OTIS Mock AIMENot measured84.4%Only Qwen3.5-Flash measured
FrontierMath, tiers 1 to 3Not measured18.2%Only Qwen3.5-Flash measured
LMArena Text: math13961407Qwen3.5-Flash
LMArena Text: mathematical work13961413Qwen3.5-Flash
MathArena12.0%Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)Not measured56.0%Only Qwen3.5-Flash measured
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)Not measured67.4%Only Qwen3.5-Flash measured
MedCode (Vals AI)Not measured33.0%Only Qwen3.5-Flash measured
MMLU Pro (Artificial Analysis run)81.5%Not measuredOnly GLM 4.5 Air measured
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14071415Qwen3.5-Flash
LMArena Text: medicine and healthcare14021407Qwen3.5-Flash
LMArena Text: legal and government13821398Qwen3.5-Flash
LMArena Text: business and finance13711394Qwen3.5-Flash
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
Design Arena: websites1146Not measuredOnly GLM 4.5 Air measured
Design Arena: UI components1121Not measuredOnly GLM 4.5 Air measured
Design Arena: game dev1093Not measuredOnly GLM 4.5 Air measured
Design Arena: data viz1186Not measuredOnly GLM 4.5 Air measured
Design Arena: 3D1122Not measuredOnly GLM 4.5 Air measured
Design Arena: all code categories1137Not measuredOnly GLM 4.5 Air measured
Design Arena: SVG1070Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index116
General benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
SAGE (Vals AI)Not measured42.5%Only Qwen3.5-Flash measured
MedScribe (Vals AI)Not measured70.6%Only Qwen3.5-Flash measured
IFBench37.6%Not measuredOnly GLM 4.5 Air measured
Long context reasoning (AA-LCR)46.7%Not measuredOnly GLM 4.5 Air measured
DTBenchNot measured82.9%Only Qwen3.5-Flash measured
LMCANot measured29.1%Only Qwen3.5-Flash measured
LMArena Text13841397Qwen3.5-Flash
LMArena Text: instruction following13541374Qwen3.5-Flash
LMArena Text: creative writing13431343GLM 4.5 Air
LMArena Text: English13971404Qwen3.5-Flash
LMArena Text: non-English13661385Qwen3.5-Flash
LMArena Text: Chinese14261445Qwen3.5-Flash
LMArena Text: German13771390Qwen3.5-Flash
LMArena Text: Japanese13481369Qwen3.5-Flash
LMArena Text: Korean13081344Qwen3.5-Flash
LMArena Text: French14001413Qwen3.5-Flash
LMArena Text: Spanish13851400Qwen3.5-Flash
LMArena Text: Russian13731380Qwen3.5-Flash
LMArena Text: Polish13681376Qwen3.5-Flash
LMArena Text: multi-turn13711393Qwen3.5-Flash
LMArena Text: longer queries13661392Qwen3.5-Flash
LMArena Text: writing and language13541369Qwen3.5-Flash
LMArena Text: entertainment and media13391347Qwen3.5-Flash
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 Air and Qwen3.5-Flash
BenchmarkGLM 4.5 AirQwen3.5-FlashLeader
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

GLM 4.5 Air$0.0008Fits in one request
Qwen3.5-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-Flash 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 GLM 4.5 Air and Qwen3.5-Flash
SpecificationZ.ai GLM 4.5 AirQwen3.5-Flash
MakerZ.aiQwen
WeightsOpen weightsNo public weights listed
ReleasedJuly 25, 2025February 25, 2026
Context window131K1M
Input $/Mtok$0.20$0.065
Output $/Mtok$1.10$0.26
Coding indexNot benchmarked41.1
Independent measurements behind it02
Cost per solved taskNot computable$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than Qwen3.5-Flash for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding. Pick GLM 4.5 Air for work measured by LMArena Text: creative writing, where it leads.

Which is cheaper, GLM 4.5 Air or Qwen3.5-Flash?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, GLM 4.5 Air or Qwen3.5-Flash?

Qwen3.5-Flash, with 1M tokens against 131K.

How many benchmarks is the GLM 4.5 Air vs Qwen3.5-Flash comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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