GLM 5V Turbo vs Qwen3.6 Plus
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3.6 Plus for coding: it scores 37.4 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.
Pick GLM 5V Turbo when what matters is τ²-Bench Telecom or LMArena Text: hard prompts in English, where it leads.
- Shared results
- 46
- GLM 5V Turbo only
- 19
- Qwen3.6 Plus only
- 37
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Qwen3.6 Plus
Qwen3.6 Plus scores 37.4 against 28.8.
One benchmark behind each score
Intelligence
AA Intelligence Index
Qwen3.6 Plus
Qwen3.6 Plus leads, 27.0 against 23.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.6 Plus has a GPQA Diamond result, 87.4%.
Directional only
Math
AIME
No call
Only Qwen3.6 Plus has a AIME result, 94.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.6 Plus has a MMLU Pro result, 87.7%.
Directional only
Web design
Design Arena: websites
Qwen3.6 Plus
Qwen3.6 Plus leads, 1243 against 1230.
Same board, both measured
Long documents
Listed context window
Qwen3.6 Plus
Qwen3.6 Plus takes 1M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 Plus
GLM 5V Turbo $0.0032, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.6 Plus has the number, $1.19.
Directional only
At a glance
- Coding index
- GLM 5V Turbo 28.8 from 1 benchmark, Qwen3.6 Plus 37.4 from 1 benchmark.
- Widest category
- Coding, 8.2 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: GLM 5V Turbo 1356 against Qwen3.6 Plus 1463, 17.8 points apart on a 0 to 100 scale.
- Output price
- GLM 5V Turbo $4.00 against Qwen3.6 Plus $1.95 per million output tokens, 2.1x apart.
- Context window
- GLM 5V Turbo takes 203K tokens, Qwen3.6 Plus 1M.
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 5V Turbo | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 2 | ||
| Web design | 3 | 5 | ||
| General | 8 | 10 | ||
| All shared boards | 15 | 31 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1402 | 1461 | Qwen3.6 Plus |
| AA Coding Index | Not measured | 54.5 | Only Qwen3.6 Plus measured |
| LiveCodeBench (Vals AI) | Not measured | 86.0% | Only Qwen3.6 Plus measured |
| SWE-bench Verified (Vals AI) | Not measured | 73.4% | Only Qwen3.6 Plus measured |
| Vibe Code Bench (Vals AI) | Not measured | 25.6% | Only Qwen3.6 Plus measured |
| Code migration (Vals AI) | Not measured | 11.1% | Only Qwen3.6 Plus measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.6 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.2% | Only Qwen3.6 Plus measured |
| Terminal-Bench Hard (Artificial Analysis run) | 32.6% | 43.9% | Qwen3.6 Plus |
| ALE-Bench | Not measured | 670.1 | Only Qwen3.6 Plus measured |
| LMArena Text: coding | 1466 | 1467 | Qwen3.6 Plus |
| LMArena Text: software and IT | 1460 | 1462 | Qwen3.6 Plus |
| LMArena WebDev: React | 1386 | 1454 | Qwen3.6 Plus |
| LMArena WebDev: HTML | 1356 | 1463 | Qwen3.6 Plus |
| LMArena WebDev: from an image | 1425 | 1472 | Qwen3.6 Plus |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 27.0 | Qwen3.6 Plus |
| Epoch Capabilities Index | Not measured | 147.3 | Only Qwen3.6 Plus measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1124 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building full-stack apps | 1149 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building mobile apps | 1134 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building Android apps | 1267 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building Godot games | 957 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building games | 1102 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: HTML slides | 1120 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | 1152 | Not measured | Only GLM 5V Turbo measured |
| Finance Agent (Vals AI) | Not measured | 40.9% | Only Qwen3.6 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.7% | Only Qwen3.6 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 14.9% | Only Qwen3.6 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 32.9% | Only Qwen3.6 Plus measured |
| τ²-Bench Telecom | 98.5% | 97.7% | GLM 5V Turbo |
| Vending-Bench 2 | Not measured | $5,115 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.4% | Only Qwen3.6 Plus measured |
| MMMU Pro (Vals AI) | Not measured | 84.2% | Only Qwen3.6 Plus measured |
| GPQA Diamond (Artificial Analysis run) | 80.9% | 88.2% | Qwen3.6 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 17.1% | 27.8% | Qwen3.6 Plus |
| GPQA Diamond (Epoch AI run) | Not measured | 88.4% | Only Qwen3.6 Plus measured |
| Chess puzzles | Not measured | 14.0% | Only Qwen3.6 Plus measured |
| Mystery game puzzles | Not measured | 12.0% | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts | 1443 | 1448 | Qwen3.6 Plus |
| LMArena Text: expert | 1453 | 1454 | Qwen3.6 Plus |
| LMArena Text: hard prompts in English | 1456 | 1455 | GLM 5V Turbo |
| LMArena Vision: diagrams | 1286 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: homework | 1273 | Not measured | Only GLM 5V Turbo measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | Not measured | 94.6% | Only Qwen3.6 Plus measured |
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.6 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 38.2% | Only Qwen3.6 Plus measured |
| LMArena Text: math | 1442 | 1449 | Qwen3.6 Plus |
| LMArena Text: mathematical work | 1447 | 1448 | Qwen3.6 Plus |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.7% | Only Qwen3.6 Plus measured |
| LegalBench (Vals AI) | Not measured | 84.2% | Only Qwen3.6 Plus measured |
| CaseLaw (Vals AI) | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| CorpFin (Vals AI) | Not measured | 61.9% | Only Qwen3.6 Plus measured |
| TaxEval (Vals AI) | Not measured | 74.7% | Only Qwen3.6 Plus measured |
| MortgageTax (Vals AI) | Not measured | 68.0% | Only Qwen3.6 Plus measured |
| MedCode (Vals AI) | Not measured | 36.9% | Only Qwen3.6 Plus measured |
| SimpleQA Verified | Not measured | 44.1% | Only Qwen3.6 Plus measured |
| LMArena Text: science | 1448 | 1439 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1433 | 1442 | Qwen3.6 Plus |
| LMArena Text: legal and government | 1436 | 1437 | Qwen3.6 Plus |
| LMArena Text: business and finance | 1435 | 1430 | GLM 5V Turbo |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1243 | Qwen3.6 Plus |
| Design Arena: UI components | 1213 | 1233 | Qwen3.6 Plus |
| Design Arena: game dev | 1219 | 1211 | GLM 5V Turbo |
| Design Arena: data viz | 1202 | 1228 | Qwen3.6 Plus |
| Design Arena: 3D | 1209 | 1202 | GLM 5V Turbo |
| Design Arena: all code categories | 1228 | 1236 | Qwen3.6 Plus |
| Design Arena: SVG | 1151 | 1160 | Qwen3.6 Plus |
| Design Arena: ASCII art | 1118 | 1115 | GLM 5V Turbo |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index810
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 44.9% | Only Qwen3.6 Plus measured |
| MedScribe (Vals AI) | Not measured | 77.0% | Only Qwen3.6 Plus measured |
| Vals Multimodal Index | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| IFBench | 61.1% | 75.2% | Qwen3.6 Plus |
| Long context reasoning (AA-LCR) | 70.3% | 78.3% | Qwen3.6 Plus |
| DTBench | Not measured | 81.9% | Only Qwen3.6 Plus measured |
| LMCA | Not measured | 33.1% | Only Qwen3.6 Plus measured |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| LMArena Text | 1437 | 1436 | GLM 5V Turbo |
| LMArena Text: instruction following | 1423 | 1424 | Qwen3.6 Plus |
| LMArena Text: creative writing | 1417 | 1404 | GLM 5V Turbo |
| LMArena Vision | 1264 | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: English | 1454 | 1445 | GLM 5V Turbo |
| LMArena Text: non-English | 1420 | 1424 | Qwen3.6 Plus |
| LMArena Text: Chinese | 1491 | 1477 | GLM 5V Turbo |
| LMArena Text: German | 1422 | 1451 | Qwen3.6 Plus |
| LMArena Text: Japanese | Not measured | 1390 | Only Qwen3.6 Plus measured |
| LMArena Text: Korean | 1397 | 1379 | GLM 5V Turbo |
| LMArena Text: French | 1443 | 1455 | Qwen3.6 Plus |
| LMArena Text: Spanish | 1452 | 1432 | GLM 5V Turbo |
| LMArena Text: Russian | 1432 | 1434 | Qwen3.6 Plus |
| LMArena Text: Polish | 1432 | 1433 | Qwen3.6 Plus |
| LMArena Text: multi-turn | 1431 | 1438 | Qwen3.6 Plus |
| LMArena Text: longer queries | 1438 | 1439 | Qwen3.6 Plus |
| LMArena Text: writing and language | 1420 | 1418 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1407 | 1402 | GLM 5V Turbo |
| LMArena Vision: English | 1274 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: Chinese | 1329 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: reading text | 1270 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: humor | 1268 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: captioning | 1264 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | 1241 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: creative writing | 1252 | Not measured | Only GLM 5V Turbo measured |
| LMArena Document | 1416 | Not measured | Only GLM 5V Turbo measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5V Turbo | Qwen3.6 Plus | 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
Qwen3.6 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.6 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 Plus 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.
| Specification | Z.ai GLM 5V Turbo | Qwen3.6 Plus |
|---|---|---|
| Maker | Z.ai | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | April 1, 2026 | April 2, 2026 |
| Context window | 203K | 1M |
| Input $/Mtok | $1.20 | $0.325 |
| Output $/Mtok | $4.00 | $1.95 |
| Coding index | 28.8 | 37.4 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5V Turbo better than Qwen3.6 Plus for coding?
Pick Qwen3.6 Plus for coding: it scores 37.4 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when what matters is τ²-Bench Telecom or LMArena Text: hard prompts in English, where it leads.
Which is cheaper, GLM 5V Turbo or Qwen3.6 Plus?
GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.
Which has the bigger context window, GLM 5V Turbo or Qwen3.6 Plus?
Qwen3.6 Plus, with 1M tokens against 203K.
How many benchmarks is the GLM 5V Turbo vs Qwen3.6 Plus comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.