GLM 5 Turbo vs GLM 5V Turbo
GLM 5 Turbo leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 26.6 to 23.5, at about the same output price ($4.00 vs $4.00 per million). Updated October 22, 2026; 15 benchmarks have a result for both.
GLM 5 Turbo or GLM 5V Turbo: 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.
- Shared results
- 15
- GLM 5 Turbo only
- 1
- GLM 5V Turbo only
- 50
- Like-for-like categories
- 6 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GLM 5 Turbo
GLM 5 Turbo leads, 26.6 against 23.5.
Same board, both measured
Web design
Design Arena: websites
GLM 5 Turbo
GLM 5 Turbo leads, 1262 against 1230.
Same board, both measured
Long documents
Listed context window
No call
Both take 203K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
GLM 5 Turbo $0.0032, GLM 5V Turbo $0.0032 per turn.
List prices
At a glance
- Coding index
- GLM 5 Turbo not benchmarked, GLM 5V Turbo not benchmarked.
- Widest category
- Reasoning, 7.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- IFBench: GLM 5 Turbo 73.2% against GLM 5V Turbo 61.1%, 12.1 points apart on a 0 to 100 scale.
- Output price
- Both cost $4.00 per million output tokens.
- Context window
- Both take 203K tokens.
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.
| Category | GLM 5 Turbo | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 0 | 0 | 1 tie | |
| Reasoning | 2 | 0 | ||
| Web design | 8 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 14 | 0 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1402 | Only GLM 5V Turbo measured |
| Terminal-Bench Hard (Artificial Analysis run) | 33.3% | 32.6% | GLM 5 Turbo |
| ALE-Bench | 634.0 | Not measured | Only GLM 5 Turbo measured |
| LMArena Text: coding | Not measured | 1466 | Only GLM 5V Turbo measured |
| LMArena Text: software and IT | Not measured | 1460 | Only GLM 5V Turbo measured |
| LMArena WebDev: React | Not measured | 1386 | Only GLM 5V Turbo measured |
| LMArena WebDev: HTML | Not measured | 1356 | Only GLM 5V Turbo measured |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.6 | 23.5 | GLM 5 Turbo |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index00
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1124 | Only GLM 5V Turbo measured |
| Design Arena: agents building full-stack apps | Not measured | 1149 | Only GLM 5V Turbo measured |
| Design Arena: agents building mobile apps | Not measured | 1134 | Only GLM 5V Turbo measured |
| Design Arena: agents building Android apps | Not measured | 1267 | Only GLM 5V Turbo measured |
| Design Arena: agents building Godot games | Not measured | 957 | Only GLM 5V Turbo measured |
| Design Arena: agents building games | Not measured | 1102 | Only GLM 5V Turbo measured |
| Design Arena: HTML slides | Not measured | 1070 | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | Not measured | 1127 | Only GLM 5V Turbo measured |
| τ²-Bench Telecom | 98.5% | 98.5% | Tie |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.7% | 80.9% | GLM 5 Turbo |
| Humanity's Last Exam (Artificial Analysis run) | 27.8% | 17.1% | GLM 5 Turbo |
| LMArena Text: hard prompts | Not measured | 1443 | Only GLM 5V Turbo measured |
| LMArena Text: expert | Not measured | 1453 | Only GLM 5V Turbo measured |
| LMArena Text: hard prompts in English | Not measured | 1456 | Only GLM 5V Turbo measured |
| LMArena Vision: diagrams | Not measured | 1286 | Only GLM 5V Turbo measured |
| LMArena Vision: homework | Not measured | 1273 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1442 | Only GLM 5V Turbo measured |
| LMArena Text: mathematical work | Not measured | 1447 | Only 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 index4 boards, none shared
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1448 | Only GLM 5V Turbo measured |
| LMArena Text: medicine and healthcare | Not measured | 1433 | Only GLM 5V Turbo measured |
| LMArena Text: legal and government | Not measured | 1436 | Only GLM 5V Turbo measured |
| LMArena Text: business and finance | Not measured | 1435 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1262 | 1230 | GLM 5 Turbo |
| Design Arena: UI components | 1260 | 1210 | GLM 5 Turbo |
| Design Arena: game dev | 1248 | 1218 | GLM 5 Turbo |
| Design Arena: data viz | 1264 | 1202 | GLM 5 Turbo |
| Design Arena: 3D | 1247 | 1208 | GLM 5 Turbo |
| Design Arena: all code categories | 1261 | 1228 | GLM 5 Turbo |
| Design Arena: SVG | 1205 | 1151 | GLM 5 Turbo |
| Design Arena: ASCII art | 1160 | 1117 | GLM 5 Turbo |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| IFBench | 73.2% | 61.1% | GLM 5 Turbo |
| Long context reasoning (AA-LCR) | 71.7% | 70.3% | GLM 5 Turbo |
| LMArena Text | Not measured | 1437 | Only GLM 5V Turbo measured |
| LMArena Text: instruction following | Not measured | 1423 | Only GLM 5V Turbo measured |
| LMArena Text: creative writing | Not measured | 1417 | Only GLM 5V Turbo measured |
| LMArena Vision | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Text: English | Not measured | 1454 | Only GLM 5V Turbo measured |
| LMArena Text: non-English | Not measured | 1420 | Only GLM 5V Turbo measured |
| LMArena Text: Chinese | Not measured | 1491 | Only GLM 5V Turbo measured |
| LMArena Text: German | Not measured | 1422 | Only GLM 5V Turbo measured |
| LMArena Text: Korean | Not measured | 1397 | Only GLM 5V Turbo measured |
| LMArena Text: French | Not measured | 1443 | Only GLM 5V Turbo measured |
| LMArena Text: Spanish | Not measured | 1452 | Only GLM 5V Turbo measured |
| LMArena Text: Russian | Not measured | 1432 | Only GLM 5V Turbo measured |
| LMArena Text: Polish | Not measured | 1432 | Only GLM 5V Turbo measured |
| LMArena Text: multi-turn | Not measured | 1431 | Only GLM 5V Turbo measured |
| LMArena Text: longer queries | Not measured | 1438 | Only GLM 5V Turbo measured |
| LMArena Text: writing and language | Not measured | 1420 | Only GLM 5V Turbo measured |
| LMArena Text: entertainment and media | Not measured | 1407 | Only GLM 5V Turbo measured |
| LMArena Vision: English | Not measured | 1274 | Only GLM 5V Turbo measured |
| LMArena Vision: Chinese | Not measured | 1329 | Only GLM 5V Turbo measured |
| LMArena Vision: reading text | Not measured | 1270 | Only GLM 5V Turbo measured |
| LMArena Vision: humor | Not measured | 1268 | Only GLM 5V Turbo measured |
| LMArena Vision: captioning | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | Not measured | 1241 | Only GLM 5V Turbo measured |
| LMArena Vision: creative writing | Not measured | 1252 | Only GLM 5V Turbo measured |
| LMArena Document | Not measured | 1416 | Only 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
| Benchmark | GLM 5 Turbo | GLM 5V Turbo | Leader |
|---|---|---|---|
| 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
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
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.
| Specification | Z.ai GLM 5 Turbo | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Z.ai | Z.ai |
| Weights | No public weights listed | No public weights listed |
| Released | March 15, 2026 | April 1, 2026 |
| Context window | 203K | 203K |
| Input $/Mtok | $1.20 | $1.20 |
| Output $/Mtok | $4.00 | $4.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5 Turbo better than GLM 5V Turbo 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 5 Turbo or GLM 5V Turbo?
GLM 5 Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GLM 5 Turbo or GLM 5V Turbo?
Neither: both take 203K tokens.
How many benchmarks is the GLM 5 Turbo vs GLM 5V Turbo comparison based on?
15 benchmarks have a result for both models as of October 22, 2026. GLM 5 Turbo's coding index rests on 0 independent benchmarks and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.