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GLM 5V Turbo vs Qwen3 30B A3B Instruct 2507

GLM 5V Turbo leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 23.5 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 13.3x less per output token ($0.30 vs $4.00 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Replace GLM 5V Turbo Replace Qwen3 30B A3B Instruct 2507
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
34
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
0
vs boards won of 34 shared

GLM 5V Turbo or Qwen3 30B A3B Instruct 2507: which to pick

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

Compare them on price, context and the boards below.

Model AGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
34
GLM 5V Turbo only
31
Qwen3 30B A3B Instruct 2507 only
11
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 5V Turbo not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Agentic work, 70.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 5V Turbo 98.5% against Qwen3 30B A3B Instruct 2507 28.1%, 70.5 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 13.3x apart.
Context window
GLM 5V Turbo takes 203K tokens, Qwen3 30B A3B Instruct 2507 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 5V TurboBarsQwen3 30B A3B Instruct 2507Ties
Coding30
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
General180
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
LMArena WebDev1402Not measuredOnly GLM 5V Turbo measured
LiveCodeBench (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
SciCodeNot measured33.0%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%6.1%GLM 5V Turbo
LMArena Text: coding14661416GLM 5V Turbo
LMArena Text: software and IT14601417GLM 5V Turbo
LMArena WebDev: React1386Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: HTML1356Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index23.57.5GLM 5V Turbo
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
Design Arena: agents building web apps1124Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building full-stack apps1149Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building mobile apps1134Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Android apps1267Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Godot games957Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building games1102Not measuredOnly GLM 5V Turbo measured
Design Arena: HTML slides1060Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1126Not measuredOnly GLM 5V Turbo measured
τ²-Bench Telecom98.5%28.1%GLM 5V Turbo
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
GPQA Diamond (Artificial Analysis run)80.9%70.7%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)17.1%10.3%GLM 5V Turbo
GPQA Diamond (Epoch AI run)Not measured55.6%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: hard prompts14431398GLM 5V Turbo
LMArena Text: expert14531397GLM 5V Turbo
LMArena Text: hard prompts in English14561406GLM 5V Turbo
LMArena Vision: diagrams1286Not measuredOnly GLM 5V Turbo measured
LMArena Vision: homework1273Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
AA Math IndexNot measured66.3Only Qwen3 30B A3B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)Not measured66.3%Only Qwen3 30B A3B Instruct 2507 measured
OTIS Mock AIMENot measured62.2%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: math14421394GLM 5V Turbo
LMArena Text: mathematical work14471411GLM 5V Turbo
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 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
MMLU Pro (Artificial Analysis run)Not measured80.5%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: science14481393GLM 5V Turbo
LMArena Text: medicine and healthcare14331392GLM 5V Turbo
LMArena Text: legal and government14361387GLM 5V Turbo
LMArena Text: business and finance14351389GLM 5V Turbo
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
Design Arena: websites1230Not measuredOnly GLM 5V Turbo measured
Design Arena: UI components1210Not measuredOnly GLM 5V Turbo measured
Design Arena: game dev1218Not measuredOnly GLM 5V Turbo measured
Design Arena: data viz1202Not measuredOnly GLM 5V Turbo measured
Design Arena: 3D1208Not measuredOnly GLM 5V Turbo measured
Design Arena: all code categories1227Not measuredOnly GLM 5V Turbo measured
Design Arena: SVG1150Not measuredOnly GLM 5V Turbo measured
Design Arena: ASCII art1116Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
IFBench61.1%50.7%GLM 5V Turbo
Long context reasoning (AA-LCR)70.3%61.3%GLM 5V Turbo
DTBenchNot measured67.2%Only Qwen3 30B A3B Instruct 2507 measured
LMCANot measured22.4%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text14371384GLM 5V Turbo
LMArena Text: instruction following14231363GLM 5V Turbo
LMArena Text: creative writing14171317GLM 5V Turbo
LMArena Vision1264Not measuredOnly GLM 5V Turbo measured
LMArena Text: English14541391GLM 5V Turbo
LMArena Text: non-English14201372GLM 5V Turbo
LMArena Text: Chinese14911432GLM 5V Turbo
LMArena Text: German14221379GLM 5V Turbo
LMArena Text: JapaneseNot measured1337Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Korean13971330GLM 5V Turbo
LMArena Text: French14431419GLM 5V Turbo
LMArena Text: Spanish14521404GLM 5V Turbo
LMArena Text: Russian14321369GLM 5V Turbo
LMArena Text: Polish14321353GLM 5V Turbo
LMArena Text: multi-turn14311378GLM 5V Turbo
LMArena Text: longer queries14381378GLM 5V Turbo
LMArena Text: writing and language14201336GLM 5V Turbo
LMArena Text: entertainment and media14071334GLM 5V Turbo
LMArena Vision: English1274Not measuredOnly GLM 5V Turbo measured
LMArena Vision: Chinese1329Not measuredOnly GLM 5V Turbo measured
LMArena Vision: reading text1270Not measuredOnly GLM 5V Turbo measured
LMArena Vision: humor1268Not measuredOnly GLM 5V Turbo measured
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things1241Not measuredOnly GLM 5V Turbo measured
LMArena Vision: creative writing1252Not measuredOnly GLM 5V Turbo measured
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5V Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGLM 5V TurboQwen3 30B A3B Instruct 2507Leader
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 5V Turbo$0.0032Fits in one request
Qwen3 30B A3B Instruct 2507$0.0002Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Qwen3 30B A3B Instruct 2507$0.021Fits in one request

Qwen3 30B A3B Instruct 2507 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 5V Turbo and Qwen3 30B A3B Instruct 2507
SpecificationZ.ai GLM 5V TurboQwen3 30B A3B Instruct 2507
MakerZ.aiQwen
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026July 29, 2025
Context window203K262K
Input $/Mtok$1.20$0.09
Output $/Mtok$4.00$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Qwen3 30B A3B Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 5V Turbo or Qwen3 30B A3B Instruct 2507?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5V Turbo or Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507, with 262K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs Qwen3 30B A3B Instruct 2507 comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Qwen3 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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