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GLM 4.5V vs Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B leads GLM 4.5V on the Artificial Analysis Intelligence Index, 11.9 to 7.6, and Qwen3 Coder 480B A35B costs 1.2x less per output token ($1.50 vs $1.80 per million). Updated October 21, 2026; 35 benchmarks have a result for both.

Replace GLM 4.5V Replace Qwen3 Coder 480B A35B
GLM 4.5VZ.ai
Coding
No data
Overall
7.6
Output $/M
$1.80
8
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
11.9
Output $/M
$1.50
26
vs boards won of 35 shared, 1 tied

GLM 4.5V or Qwen3 Coder 480B A35B: which to pick

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

Pick GLM 4.5V for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGLM 4.5VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
35
GLM 4.5V only
5
Qwen3 Coder 480B A35B only
17
Like-for-like categories
7 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 4.5V not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Agentic work, 21.1 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.5V 0.0% against Qwen3 Coder 480B A35B 45.7%, 45.7 points apart on a 0 to 100 scale.
Output price
GLM 4.5V $1.80 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.2x apart.
Context window
GLM 4.5V takes 66K tokens, Qwen3 Coder 480B A35B 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 4.5VBarsQwen3 Coder 480B A35BTies
Coding13
Intelligence01
Agentic work01
Reasoning32
Math22
Knowledge131 tie
General114
All shared boards8261 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)60.4%58.5%GLM 4.5V
Terminal-Bench Hard (Artificial Analysis run)6.8%18.9%Qwen3 Coder 480B A35B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding13471412Qwen3 Coder 480B A35B
LMArena Text: software and IT13531393Qwen3 Coder 480B A35B
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
AA Intelligence Index7.611.9Qwen3 Coder 480B A35B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
τ²-Bench Telecom22.5%43.6%Qwen3 Coder 480B A35B
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)68.4%61.8%GLM 4.5V
Humanity's Last Exam (Artificial Analysis run)6.3%4.5%GLM 4.5V
LMArena Text: hard prompts13351372Qwen3 Coder 480B A35B
LMArena Text: expert13531338GLM 4.5V
LMArena Text: hard prompts in English13571380Qwen3 Coder 480B A35B
LMArena Vision: diagrams1151Not measuredOnly GLM 4.5V measured
LMArena Vision: homework1163Not measuredOnly GLM 4.5V measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
AA Math Index73.039.3GLM 4.5V
AIME 2025 (Artificial Analysis run)73.0%39.3%GLM 4.5V
LMArena Text: math13541365Qwen3 Coder 480B A35B
LMArena Text: mathematical work13361367Qwen3 Coder 480B A35B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)78.8%78.8%Tie
LMArena Text: science13301347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare13491347GLM 4.5V
LMArena Text: legal and government13381358Qwen3 Coder 480B A35B
LMArena Text: business and finance13091343Qwen3 Coder 480B A35B
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
Design Arena: UI componentsNot measured1113Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index114
General benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
IFBench34.2%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)0.0%45.7%Qwen3 Coder 480B A35B
LMArena Text13331357Qwen3 Coder 480B A35B
LMArena Text: instruction following13111355Qwen3 Coder 480B A35B
LMArena Text: creative writing12941333Qwen3 Coder 480B A35B
LMArena Vision1154Not measuredOnly GLM 4.5V measured
LMArena Text: English13621359GLM 4.5V
LMArena Text: non-English13031346Qwen3 Coder 480B A35B
LMArena Text: Chinese13371357Qwen3 Coder 480B A35B
LMArena Text: GermanNot measured1325Only Qwen3 Coder 480B A35B measured
LMArena Text: JapaneseNot measured1311Only Qwen3 Coder 480B A35B measured
LMArena Text: KoreanNot measured1305Only Qwen3 Coder 480B A35B measured
LMArena Text: FrenchNot measured1398Only Qwen3 Coder 480B A35B measured
LMArena Text: Spanish13361360Qwen3 Coder 480B A35B
LMArena Text: Russian12981366Qwen3 Coder 480B A35B
LMArena Text: Polish13021344Qwen3 Coder 480B A35B
LMArena Text: multi-turn13331366Qwen3 Coder 480B A35B
LMArena Text: longer queries13051378Qwen3 Coder 480B A35B
LMArena Text: writing and language13021340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media13031317Qwen3 Coder 480B A35B
LMArena Vision: English1183Not measuredOnly GLM 4.5V measured
LMArena Vision: reading text1151Not measuredOnly GLM 4.5V measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5V and Qwen3 Coder 480B A35B
BenchmarkGLM 4.5VQwen3 Coder 480B A35BLeader
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 4.5V$0.0015Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

GLM 4.5V$0.035Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

GLM 4.5V$0.138Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits in one request

Qwen3 Coder 480B A35B 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 4.5V and Qwen3 Coder 480B A35B
SpecificationZ.ai GLM 4.5VQwen3 Coder 480B A35B
MakerZ.aiQwen
WeightsOpen weightsOpen weights
ReleasedAugust 11, 2025July 23, 2025
Context window66K262K
Input $/Mtok$0.60$0.30
Output $/Mtok$1.80$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5V better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5V for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GLM 4.5V or Qwen3 Coder 480B A35B?

GLM 4.5V costs $0.60 per million input tokens and $1.80 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.5V or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 66K.

How many benchmarks is the GLM 4.5V vs Qwen3 Coder 480B A35B comparison based on?

35 benchmarks have a result for both models as of October 21, 2026. GLM 4.5V's coding index rests on 0 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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