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GLM 5V Turbo vs GPT-3.5 Turbo

GLM 5V Turbo leads GPT-3.5 Turbo on the Artificial Analysis Intelligence Index, 23.5 to 5.5, and GPT-3.5 Turbo costs 2.7x less per output token ($1.50 vs $4.00 per million). Updated October 22, 2026; 2 benchmarks have a result for both.

Replace GLM 5V Turbo Replace GPT-3.5 Turbo
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
2
GPT-3.5 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$1.50
0
vs boards won of 2 shared

GLM 5V Turbo or GPT-3.5 Turbo: which to pick

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

Pick GLM 5V Turbo for a larger context window (203K against 16K tokens).

Model AGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-3.5 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
2
GLM 5V Turbo only
63
GPT-3.5 Turbo only
11
Like-for-like categories
2 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, GPT-3.5 Turbo not benchmarked.
Widest category
Reasoning, 51.2 points apart on average over 1 shared benchmark.
Widest single gap
GPQA Diamond (Artificial Analysis run): GLM 5V Turbo 80.9% against GPT-3.5 Turbo 29.7%, 51.2 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against GPT-3.5 Turbo $1.50 per million output tokens, 2.7x apart.
Context window
GLM 5V Turbo takes 203K tokens, GPT-3.5 Turbo 16K.

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 TurboBarsGPT-3.5 TurboTies
Intelligence10
Reasoning10
All shared boards20
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for GLM 5V Turbo and GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
LMArena WebDev1402Not measuredOnly GLM 5V Turbo measured
AA Coding IndexNot measured10.7Only GPT-3.5 Turbo measured
Terminal-Bench Hard (Artificial Analysis run)32.6%Not measuredOnly GLM 5V Turbo measured
LMArena Text: coding1466Not measuredOnly GLM 5V Turbo measured
LMArena Text: software and IT1460Not measuredOnly GLM 5V Turbo measured
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
SciCodeNot measured0.0%Only GPT-3.5 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 GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
AA Intelligence Index23.55.5GLM 5V Turbo
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for GLM 5V Turbo and GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
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%Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for GLM 5V Turbo and GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
GPQA DiamondNot measured30.6%Only GPT-3.5 Turbo measured
GPQA Diamond (Artificial Analysis run)80.9%29.7%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)17.1%Not measuredOnly GLM 5V Turbo measured
BIG-Bench HardNot measured61.6%Only GPT-3.5 Turbo measured
LMArena Text: hard prompts1443Not measuredOnly GLM 5V Turbo measured
LMArena Text: expert1453Not measuredOnly GLM 5V Turbo measured
LMArena Text: hard prompts in English1456Not measuredOnly GLM 5V Turbo measured
LMArena Vision: diagrams1286Not measuredOnly GLM 5V Turbo measured
LMArena Vision: homework1273Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for GLM 5V Turbo and GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
GSM8KNot measured57.8%Only GPT-3.5 Turbo measured
LMArena Text: math1442Not measuredOnly GLM 5V Turbo measured
LMArena Text: mathematical work1447Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for GLM 5V Turbo and GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
LegalBench (Vals AI)Not measured64.4%Only GPT-3.5 Turbo measured
MedQA (Vals AI)Not measured58.5%Only GPT-3.5 Turbo measured
MMLU Pro (Artificial Analysis run)Not measured46.2%Only GPT-3.5 Turbo measured
MMLUNot measured68.5%Only GPT-3.5 Turbo measured
LMArena Text: science1448Not measuredOnly GLM 5V Turbo measured
LMArena Text: medicine and healthcare1433Not measuredOnly GLM 5V Turbo measured
LMArena Text: legal and government1436Not measuredOnly GLM 5V Turbo measured
LMArena Text: business and finance1435Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 12 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 GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
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
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards, none shared
General benchmarks for GLM 5V Turbo and GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
IFBench61.1%Not measuredOnly GLM 5V Turbo measured
Long context reasoning (AA-LCR)70.3%Not measuredOnly GLM 5V Turbo measured
DTBenchNot measured48.5%Only GPT-3.5 Turbo measured
LMCANot measured9.7%Only GPT-3.5 Turbo measured
LMArena Text1437Not measuredOnly GLM 5V Turbo measured
LMArena Text: instruction following1423Not measuredOnly GLM 5V Turbo measured
LMArena Text: creative writing1417Not measuredOnly GLM 5V Turbo measured
LMArena Vision1264Not measuredOnly GLM 5V Turbo measured
LMArena Text: English1454Not measuredOnly GLM 5V Turbo measured
LMArena Text: non-English1420Not measuredOnly GLM 5V Turbo measured
LMArena Text: Chinese1491Not measuredOnly GLM 5V Turbo measured
LMArena Text: German1422Not measuredOnly GLM 5V Turbo measured
LMArena Text: Korean1397Not measuredOnly GLM 5V Turbo measured
LMArena Text: French1443Not measuredOnly GLM 5V Turbo measured
LMArena Text: Spanish1452Not measuredOnly GLM 5V Turbo measured
LMArena Text: Russian1432Not measuredOnly GLM 5V Turbo measured
LMArena Text: Polish1432Not measuredOnly GLM 5V Turbo measured
LMArena Text: multi-turn1431Not measuredOnly GLM 5V Turbo measured
LMArena Text: longer queries1438Not measuredOnly GLM 5V Turbo measured
LMArena Text: writing and language1420Not measuredOnly GLM 5V Turbo measured
LMArena Text: entertainment and media1407Not measuredOnly GLM 5V Turbo measured
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 19 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 GPT-3.5 Turbo
BenchmarkGLM 5V TurboGPT-3.5 TurboLeader
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
GPT-3.5 Turbo$0.0013Fits in one request

GPT-3.5 Turbo costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
GPT-3.5 Turbo$0.029Exceeds the context window

GPT-3.5 Turbo costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
GPT-3.5 Turbo$0.115Exceeds the context window

GPT-3.5 Turbo 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 GPT-3.5 Turbo
SpecificationZ.ai GLM 5V TurboOpenAI GPT-3.5 Turbo
MakerZ.aiOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 1, 2026May 28, 2023
Context window203K16K
Input $/Mtok$1.20$0.50
Output $/Mtok$4.00$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than GPT-3.5 Turbo for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5V Turbo for a larger context window (203K against 16K tokens).

Which is cheaper, GLM 5V Turbo or GPT-3.5 Turbo?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; GPT-3.5 Turbo costs $0.50 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5V Turbo or GPT-3.5 Turbo?

GLM 5V Turbo, with 203K tokens against 16K.

How many benchmarks is the GLM 5V Turbo vs GPT-3.5 Turbo comparison based on?

2 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and GPT-3.5 Turbo's on 0. Where only one model has a result, the page says so instead of naming a winner.

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