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GLM 5.3 Flash vs Qwen3 Coder 480B A35B

GLM 5.3 Flash leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 41.8 to 11.9, and GLM 5.3 Flash costs 3.0x less per output token ($0.50 vs $1.50 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace Qwen3 Coder 480B A35B
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
40
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
1
vs boards won of 41 shared

GLM 5.3 Flash or Qwen3 Coder 480B A35B: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding.

Pick Qwen3 Coder 480B A35B for work measured by ALE-Bench, where it leads.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BQwen3 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
41
GLM 5.3 Flash only
61
Qwen3 Coder 480B A35B only
12
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 5.3 Flash 57.7 from 6 benchmarks, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Coding, 32.0 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: GLM 5.3 Flash 1624 against Qwen3 Coder 480B A35B 1257, 57.1 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 3.0x apart.
Context window
GLM 5.3 Flash takes 1.05M 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 5.3 FlashBarsQwen3 Coder 480B A35BTies
Coding51
Intelligence10
Reasoning50
Math20
Knowledge40
Web design50
General180
All shared boards401
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
Coding benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071275GLM 5.3 Flash
AA Coding Index71.5Not measuredOnly GLM 5.3 Flash measured
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)92.0%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%Not measuredOnly GLM 5.3 Flash measured
Code migration (Vals AI)20.5%Not measuredOnly GLM 5.3 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured58.5%Only Qwen3 Coder 480B A35B measured
SciCode51.6%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured18.9%Only Qwen3 Coder 480B A35B measured
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-Bench303.6461.4Qwen3 Coder 480B A35B
LMArena Text: coding15071412GLM 5.3 Flash
LMArena Text: software and IT15001393GLM 5.3 Flash
LMArena WebDev: React16241257GLM 5.3 Flash
LMArena WebDev: HTML15771287GLM 5.3 Flash
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
AA Intelligence Index41.811.9GLM 5.3 Flash
Epoch Capabilities Index153.1Not measuredOnly GLM 5.3 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured43.6%Only Qwen3 Coder 480B A35B measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
GPQA Diamond86.4%Not measuredOnly GLM 5.3 Flash measured
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%61.8%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%4.5%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901372GLM 5.3 Flash
LMArena Text: expert15111338GLM 5.3 Flash
LMArena Text: hard prompts in English14881380GLM 5.3 Flash
LMArena Vision: diagrams1317Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Kagi LLM BenchmarkNot measured49.5%Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
OTIS Mock AIME93.9%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: math15031365GLM 5.3 Flash
LMArena Text: mathematical work14971367GLM 5.3 Flash
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
MMLU Pro86.1%Not measuredOnly GLM 5.3 Flash measured
LegalBench (Vals AI)83.9%Not measuredOnly GLM 5.3 Flash measured
TaxEval (Vals AI)75.6%Not measuredOnly GLM 5.3 Flash measured
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
LMArena Text: science14841347GLM 5.3 Flash
LMArena Text: medicine and healthcare14751347GLM 5.3 Flash
LMArena Text: legal and government14731358GLM 5.3 Flash
LMArena Text: business and finance14601343GLM 5.3 Flash
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
Design Arena: websites12721159GLM 5.3 Flash
Design Arena: UI components13161113GLM 5.3 Flash
Design Arena: game dev12781099GLM 5.3 Flash
Design Arena: data viz12611084GLM 5.3 Flash
Design Arena: 3D1316Not measuredOnly GLM 5.3 Flash measured
Design Arena: all code categories12821143GLM 5.3 Flash
Design Arena: SVG1284Not measuredOnly GLM 5.3 Flash measured
Design Arena: ASCII art1268Not measuredOnly GLM 5.3 Flash measured
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 Coder 480B A35BLeader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
IFBenchNot measured40.5%Only Qwen3 Coder 480B A35B measured
Long context reasoning (AA-LCR)80.0%45.7%GLM 5.3 Flash
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711357GLM 5.3 Flash
LMArena Text: instruction following14781355GLM 5.3 Flash
LMArena Text: creative writing14411333GLM 5.3 Flash
LMArena Vision1294Not measuredOnly GLM 5.3 Flash measured
LMArena Text: English14741359GLM 5.3 Flash
LMArena Text: non-English14621346GLM 5.3 Flash
LMArena Text: Chinese15311357GLM 5.3 Flash
LMArena Text: German14621325GLM 5.3 Flash
LMArena Text: Japanese14441311GLM 5.3 Flash
LMArena Text: Korean14361305GLM 5.3 Flash
LMArena Text: French14911398GLM 5.3 Flash
LMArena Text: Spanish14751360GLM 5.3 Flash
LMArena Text: Russian14651366GLM 5.3 Flash
LMArena Text: Polish14501344GLM 5.3 Flash
LMArena Text: multi-turn14691366GLM 5.3 Flash
LMArena Text: longer queries14811378GLM 5.3 Flash
LMArena Text: writing and language14551340GLM 5.3 Flash
LMArena Text: entertainment and media14401317GLM 5.3 Flash
LMArena Vision: English1295Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text1299Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing1270Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 5.3 FlashQwen3 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 5.3 Flash$0.0004Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
Qwen3 Coder 480B A35B$0.075Fits in one request

GLM 5.3 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 5.3 Flash and Qwen3 Coder 480B A35B
SpecificationZ.ai GLM 5.3 FlashQwen3 Coder 480B A35B
MakerZ.aiQwen
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026July 23, 2025
Context window1.05M262K
Input $/Mtok$0.15$0.30
Output $/Mtok$0.50$1.50
Coding index57.7Not benchmarked
Independent measurements behind it61
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Qwen3 Coder 480B A35B for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding. Pick Qwen3 Coder 480B A35B for work measured by ALE-Bench, where it leads.

Which is cheaper, GLM 5.3 Flash or Qwen3 Coder 480B A35B?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, GLM 5.3 Flash or Qwen3 Coder 480B A35B?

GLM 5.3 Flash, with 1.05M tokens against 262K.

How many benchmarks is the GLM 5.3 Flash vs Qwen3 Coder 480B A35B comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 6 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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