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GLM 5.3 Flash vs Qwen3.5 397B A17B

GLM 5.3 Flash leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 41.8 to 21.4, and GLM 5.3 Flash costs 4.7x less per output token ($0.50 vs $2.34 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace Qwen3.5 397B A17B
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
56
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
2
vs boards won of 58 shared

GLM 5.3 Flash or Qwen3.5 397B A17B: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for work measured by ALE-Bench or Mystery game puzzles, where it leads.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
58
GLM 5.3 Flash only
44
Qwen3.5 397B A17B only
7
Like-for-like categories
8 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, Qwen3.5 397B A17B not benchmarked.
Widest category
Agentic work, 27.9 points apart on average over 1 shared benchmark.
Widest single gap
LMArena WebDev: React: GLM 5.3 Flash 1624 against Qwen3.5 397B A17B 1388, 35.4 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Qwen3.5 397B A17B $2.34 per million output tokens, 4.7x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, Qwen3.5 397B A17B 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 FlashBarsQwen3.5 397B A17BTies
Coding61
Intelligence20
Agentic work10
Reasoning81
Math40
Knowledge40
Web design70
General240
All shared boards562
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
Coding benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071400GLM 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
SciCode51.6%44.8%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured40.9%Only Qwen3.5 397B A17B measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6621.9Qwen3.5 397B A17B
LMArena Text: coding15071464GLM 5.3 Flash
LMArena Text: software and IT15001463GLM 5.3 Flash
LMArena WebDev: React16241388GLM 5.3 Flash
LMArena WebDev: HTML15771410GLM 5.3 Flash
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
AA Intelligence Index41.821.4GLM 5.3 Flash
Epoch Capabilities Index153.1146.8GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
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 measured95.6%Only Qwen3.5 397B A17B measured
APEX-Agents52.8%24.9%GLM 5.3 Flash
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
Reasoning benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
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%89.3%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%29.0%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%86.4%GLM 5.3 Flash
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%18.0%Qwen3.5 397B A17B
LMArena Text: hard prompts14901448GLM 5.3 Flash
LMArena Text: expert15111462GLM 5.3 Flash
LMArena Text: hard prompts in English14881450GLM 5.3 Flash
LMArena Vision: diagrams13171277GLM 5.3 Flash
LMArena Vision: homework13181292GLM 5.3 Flash
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
OTIS Mock AIME93.9%88.9%GLM 5.3 Flash
FrontierMath, tiers 1 to 355.8%31.2%GLM 5.3 Flash
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: math15031453GLM 5.3 Flash
LMArena Text: mathematical work14971454GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
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
LMArena Text: science14841457GLM 5.3 Flash
LMArena Text: medicine and healthcare14751455GLM 5.3 Flash
LMArena Text: legal and government14731441GLM 5.3 Flash
LMArena Text: business and finance14601435GLM 5.3 Flash
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
Design Arena: websites12721190GLM 5.3 Flash
Design Arena: UI components13161160GLM 5.3 Flash
Design Arena: game dev12781140GLM 5.3 Flash
Design Arena: data viz12621175GLM 5.3 Flash
Design Arena: 3D13161160GLM 5.3 Flash
Design Arena: all code categories12821179GLM 5.3 Flash
Design Arena: SVG12851139GLM 5.3 Flash
Design Arena: ASCII art1267Not 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 index240
General benchmarks for GLM 5.3 Flash and Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
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 measured78.8%Only Qwen3.5 397B A17B measured
Long context reasoning (AA-LCR)80.0%77.3%GLM 5.3 Flash
DTBenchNot measured87.5%Only Qwen3.5 397B A17B measured
LMCANot measured37.9%Only Qwen3.5 397B A17B measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711437GLM 5.3 Flash
LMArena Text: instruction following14781424GLM 5.3 Flash
LMArena Text: creative writing14411402GLM 5.3 Flash
LMArena Vision12941262GLM 5.3 Flash
LMArena Text: English14741443GLM 5.3 Flash
LMArena Text: non-English14621430GLM 5.3 Flash
LMArena Text: Chinese15311498GLM 5.3 Flash
LMArena Text: German14621445GLM 5.3 Flash
LMArena Text: Japanese14441429GLM 5.3 Flash
LMArena Text: Korean14361384GLM 5.3 Flash
LMArena Text: French14911462GLM 5.3 Flash
LMArena Text: Spanish14751441GLM 5.3 Flash
LMArena Text: Russian14651430GLM 5.3 Flash
LMArena Text: Polish14501447GLM 5.3 Flash
LMArena Text: multi-turn14691446GLM 5.3 Flash
LMArena Text: longer queries14811441GLM 5.3 Flash
LMArena Text: writing and language14551415GLM 5.3 Flash
LMArena Text: entertainment and media14401399GLM 5.3 Flash
LMArena Vision: English12951268GLM 5.3 Flash
LMArena Vision: Chinese13631314GLM 5.3 Flash
LMArena Vision: reading text12991271GLM 5.3 Flash
LMArena Vision: humor12791262GLM 5.3 Flash
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing thingsNot measured1265Only Qwen3.5 397B A17B measured
LMArena Vision: creative writing12701260GLM 5.3 Flash
Neither model has a result on the other 13 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 Qwen3.5 397B A17B
BenchmarkGLM 5.3 FlashQwen3.5 397B A17BLeader
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
Qwen3.5 397B A17B$0.0016Fits 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
Qwen3.5 397B A17B$0.027Fits 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
Qwen3.5 397B A17B$0.101Fits 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 Qwen3.5 397B A17B
SpecificationZ.ai GLM 5.3 FlashQwen3.5 397B A17B
MakerZ.aiQwen
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026February 16, 2026
Context window1.05M262K
Input $/Mtok$0.15$0.39
Output $/Mtok$0.50$2.34
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 Qwen3.5 397B A17B for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for work measured by ALE-Bench or Mystery game puzzles, where it leads.

Which is cheaper, GLM 5.3 Flash or Qwen3.5 397B A17B?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, GLM 5.3 Flash or Qwen3.5 397B A17B?

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

How many benchmarks is the GLM 5.3 Flash vs Qwen3.5 397B A17B comparison based on?

58 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash's coding index rests on 6 independent benchmarks and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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