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GLM 4.5 Air vs Qwen3 Next 80B A3B Thinking

Qwen3 Next 80B A3B Thinking leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 11.2 to 11.1, at about the same output price ($1.20 vs $1.10 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Replace GLM 4.5 Air Replace Qwen3 Next 80B A3B Thinking
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
25
Qwen3 Next 80B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.20
4
vs boards won of 29 shared

GLM 4.5 Air or Qwen3 Next 80B A3B Thinking: which to pick

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

Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by AA Intelligence Index or LMArena Text: expert, where it leads.

Model AGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Next 80B A3B ThinkingQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
29
GLM 4.5 Air only
20
Qwen3 Next 80B A3B Thinking only
1
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
GLM 4.5 Air not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
Widest category
General, 4.1 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: Japanese: GLM 4.5 Air 1348 against Qwen3 Next 80B A3B Thinking 1280, 11.2 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 1.1x apart.
Context window
GLM 4.5 Air takes 131K tokens, Qwen3 Next 80B A3B Thinking 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
CategoryGLM 4.5 AirBarsQwen3 Next 80B A3B ThinkingTies
Coding20
Intelligence01
Reasoning21
Math11
Knowledge40
General161
All shared boards254
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GLM 4.5 Air and Qwen3 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
AA Coding IndexNot measured17.4Only Qwen3 Next 80B A3B Thinking 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
LMArena Text: coding13971392GLM 4.5 Air
LMArena Text: software and IT14011393GLM 4.5 Air
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 Air and Qwen3 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
AA Intelligence Index11.111.2Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 1 board here
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 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
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 index21
Reasoning benchmarks for GLM 4.5 Air and Qwen3 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
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
LMArena Text: hard prompts13791371GLM 4.5 Air
LMArena Text: expert13701376Qwen3 Next 80B A3B Thinking
LMArena Text: hard prompts in English13881384GLM 4.5 Air
Kagi LLM Benchmark43.0%Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for GLM 4.5 Air and Qwen3 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
AA Math Index80.7Not measuredOnly GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)80.7%Not measuredOnly GLM 4.5 Air measured
LMArena Text: math13961399Qwen3 Next 80B A3B Thinking
LMArena Text: mathematical work13961390GLM 4.5 Air
MathArena12.0%Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.5 Air and Qwen3 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
MMLU Pro (Artificial Analysis run)81.5%Not measuredOnly GLM 4.5 Air measured
LMArena Text: science14071384GLM 4.5 Air
LMArena Text: medicine and healthcare14021392GLM 4.5 Air
LMArena Text: legal and government13821364GLM 4.5 Air
LMArena Text: business and finance13711360GLM 4.5 Air
Neither model has a result on the other 15 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 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
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 index161
General benchmarks for GLM 4.5 Air and Qwen3 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
IFBench37.6%Not measuredOnly GLM 4.5 Air measured
Long context reasoning (AA-LCR)46.7%Not measuredOnly GLM 4.5 Air measured
LMArena Text13841368GLM 4.5 Air
LMArena Text: instruction following13541344GLM 4.5 Air
LMArena Text: creative writing13431314GLM 4.5 Air
LMArena Text: English13971392GLM 4.5 Air
LMArena Text: non-English13661342GLM 4.5 Air
LMArena Text: Chinese14261407GLM 4.5 Air
LMArena Text: German13771356GLM 4.5 Air
LMArena Text: Japanese13481280GLM 4.5 Air
LMArena Text: Korean13081310Qwen3 Next 80B A3B Thinking
LMArena Text: French14001351GLM 4.5 Air
LMArena Text: Spanish13851358GLM 4.5 Air
LMArena Text: Russian13731337GLM 4.5 Air
LMArena Text: Polish13681345GLM 4.5 Air
LMArena Text: multi-turn13711346GLM 4.5 Air
LMArena Text: longer queries13661353GLM 4.5 Air
LMArena Text: writing and language13541330GLM 4.5 Air
LMArena Text: entertainment and media13391312GLM 4.5 Air
Neither model has a result on the other 29 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 Next 80B A3B Thinking
BenchmarkGLM 4.5 AirQwen3 Next 80B A3B ThinkingLeader
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 Next 80B A3B Thinking$0.0008Fits in one request

Same cost

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
Qwen3 Next 80B A3B Thinking$0.011Fits in one request

Qwen3 Next 80B A3B Thinking costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
Qwen3 Next 80B A3B Thinking$0.042Fits in one request

Qwen3 Next 80B A3B Thinking 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 Next 80B A3B Thinking
SpecificationZ.ai GLM 4.5 AirQwen3 Next 80B A3B Thinking
MakerZ.aiQwen
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025September 11, 2025
Context window131K262K
Input $/Mtok$0.20$0.15
Output $/Mtok$1.10$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than Qwen3 Next 80B A3B Thinking for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by AA Intelligence Index or LMArena Text: expert, where it leads.

Which is cheaper, GLM 4.5 Air or Qwen3 Next 80B A3B Thinking?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.5 Air or Qwen3 Next 80B A3B Thinking?

Qwen3 Next 80B A3B Thinking, with 262K tokens against 131K.

How many benchmarks is the GLM 4.5 Air vs Qwen3 Next 80B A3B Thinking comparison based on?

29 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 Next 80B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.

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