GLM 5V Turbo vs GPT-6 Luna
GPT-6 Luna leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 38.1 to 23.5, and GPT-6 Luna costs 8.0x less per output token ($0.50 vs $4.00 per million). Updated October 22, 2026; 52 benchmarks have a result for both.
GLM 5V Turbo or GPT-6 Luna: which to pick
Only GPT-6 Luna has a coding score, 57.3 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.
Pick GLM 5V Turbo for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 52
- GLM 5V Turbo only
- 13
- GPT-6 Luna only
- 52
- 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only GPT-6 Luna has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-6 Luna
GPT-6 Luna leads, 38.1 against 23.5.
Same board, both measured
Web design
Design Arena: websites
GPT-6 Luna
GPT-6 Luna leads, 1271 against 1230.
Same board, both measured
General
Vals Index
No call
Only GPT-6 Luna has a Vals Index result, 52.3%.
Directional only
Long documents
Listed context window
GPT-6 Luna
GPT-6 Luna takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6 Luna
GLM 5V Turbo $0.0032, GPT-6 Luna $0.0003 per turn.
List prices
At a glance
- Coding index
- GLM 5V Turbo not benchmarked, GPT-6 Luna 57.3 from 5 benchmarks.
- Widest category
- Coding, 21.9 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: GLM 5V Turbo 1356 against GPT-6 Luna 1595, 39.9 points apart on a 0 to 100 scale.
- Output price
- GLM 5V Turbo $4.00 against GPT-6 Luna $0.50 per million output tokens, 8.0x apart.
- Context window
- GLM 5V Turbo takes 203K tokens, GPT-6 Luna 1.05M.
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 | GPT-6 Luna | Ties |
|---|---|---|---|---|
| Coding | 2 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 2 | ||
| Reasoning | 5 | 1 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 0 | 8 | ||
| General | 21 | 1 | ||
| All shared boards | 35 | 17 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 84.5% | Only GPT-6 Luna measured |
| LMArena WebDev | 1402 | 1578 | GPT-6 Luna |
| Terminal-Bench 4 (Vals AI) | Not measured | 13.6% | Only GPT-6 Luna measured |
| Vibe Code Bench (Vals AI) | Not measured | 81.7% | Only GPT-6 Luna measured |
| Code migration (Vals AI) | Not measured | 42.5% | Only GPT-6 Luna measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only GPT-6 Luna measured |
| IOI (Vals AI) | Not measured | 55.6% | Only GPT-6 Luna measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 73.0% | Only GPT-6 Luna measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 37.5% | Only GPT-6 Luna measured |
| CyberBench (Vals AI) | Not measured | 76.3% | Only GPT-6 Luna measured |
| SciCode | Not measured | 54.6% | Only GPT-6 Luna measured |
| Terminal-Bench Hard (Artificial Analysis run) | 32.6% | Not measured | Only GLM 5V Turbo measured |
| FrontierCode | Not measured | 42.4% | Only GPT-6 Luna measured |
| ALE-Bench | Not measured | 1576.9 | Only GPT-6 Luna measured |
| LMArena Text: coding | 1466 | 1437 | GLM 5V Turbo |
| LMArena Text: software and IT | 1460 | 1423 | GLM 5V Turbo |
| LMArena WebDev: React | 1386 | 1573 | GPT-6 Luna |
| LMArena WebDev: HTML | 1356 | 1595 | GPT-6 Luna |
| LMArena WebDev: from an image | 1425 | 1571 | GPT-6 Luna |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 38.1 | GPT-6 Luna |
| Epoch Capabilities Index | Not measured | 156.8 | Only GPT-6 Luna measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1124 | 1191 | GPT-6 Luna |
| Design Arena: agents building full-stack apps | 1149 | 1158 | GPT-6 Luna |
| Design Arena: agents building mobile apps | 1134 | 1131 | GLM 5V Turbo |
| 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 | 1060 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | 1126 | Not measured | Only GLM 5V Turbo measured |
| LiveBench research | Not measured | 43.5% | Only GPT-6 Luna measured |
| LiveBench browser | Not measured | 72.0% | Only GPT-6 Luna measured |
| LiveBench long agentic | Not measured | 48.1% | Only GPT-6 Luna measured |
| SREBench (Vals AI) | Not measured | 2.7% | Only GPT-6 Luna measured |
| Finance Agent (Vals AI) | Not measured | 49.9% | Only GPT-6 Luna measured |
| Tax Agent Bench (Vals AI) | Not measured | 19.9% | Only GPT-6 Luna measured |
| Legal Research Bench (Vals AI) | Not measured | 30.3% | Only GPT-6 Luna measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 4.2% | Only GPT-6 Luna measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 68.5% | Only GPT-6 Luna measured |
| BioMysteryBench (Vals AI) | Not measured | 61.5% | Only GPT-6 Luna measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only GPT-6 Luna measured |
| Vals Science Index | Not measured | 28.4% | Only GPT-6 Luna measured |
| τ²-Bench Telecom | 98.5% | Not measured | Only GLM 5V Turbo measured |
| APEX-Agents | Not measured | 44.3% | Only GPT-6 Luna measured |
| SpireClimb | Not measured | 0.0% | Only GPT-6 Luna measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 81.8% | Only GPT-6 Luna measured |
| MysteryMechanism (Vals AI) | Not measured | 19.4% | Only GPT-6 Luna measured |
| GPQA Diamond (Artificial Analysis run) | 80.9% | Not measured | Only GLM 5V Turbo measured |
| Humanity's Last Exam (Artificial Analysis run) | 17.1% | 38.5% | GPT-6 Luna |
| GPQA Diamond (Epoch AI run) | Not measured | 90.5% | Only GPT-6 Luna measured |
| ARC-AGI | Not measured | 86.7% | Only GPT-6 Luna measured |
| ARC-AGI-2 | Not measured | 59.3% | Only GPT-6 Luna measured |
| Chess puzzles | Not measured | 36.0% | Only GPT-6 Luna measured |
| Mystery game puzzles | Not measured | 7.0% | Only GPT-6 Luna measured |
| LMArena Text: hard prompts | 1443 | 1410 | GLM 5V Turbo |
| LMArena Text: expert | 1453 | 1442 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1456 | 1410 | GLM 5V Turbo |
| LMArena Vision: diagrams | 1286 | 1245 | GLM 5V Turbo |
| LMArena Vision: homework | 1273 | 1261 | GLM 5V Turbo |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 98.9% | Only GPT-6 Luna measured |
| FrontierMath, tiers 1 to 3 | Not measured | 78.9% | Only GPT-6 Luna measured |
| FrontierMath, tier 4 | Not measured | 56.1% | Only GPT-6 Luna measured |
| ProofBench | Not measured | 64.0% | Only GPT-6 Luna measured |
| LMArena Text: math | 1442 | 1409 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1447 | 1427 | GLM 5V Turbo |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 44.7% | Only GPT-6 Luna measured |
| SimpleQA Verified | Not measured | 41.4% | Only GPT-6 Luna measured |
| LMArena Text: science | 1448 | 1386 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1433 | 1352 | GLM 5V Turbo |
| LMArena Text: legal and government | 1436 | 1400 | GLM 5V Turbo |
| LMArena Text: business and finance | 1435 | 1388 | GLM 5V Turbo |
| FACTS Benchmark Suite | Not measured | 63.3% | Only GPT-6 Luna measured |
| PRBench Legal | Not measured | 42.9% | Only GPT-6 Luna measured |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1271 | GPT-6 Luna |
| Design Arena: UI components | 1210 | 1295 | GPT-6 Luna |
| Design Arena: game dev | 1218 | 1258 | GPT-6 Luna |
| Design Arena: data viz | 1202 | 1217 | GPT-6 Luna |
| Design Arena: 3D | 1208 | 1218 | GPT-6 Luna |
| Design Arena: all code categories | 1227 | 1270 | GPT-6 Luna |
| Design Arena: SVG | 1150 | 1253 | GPT-6 Luna |
| Design Arena: ASCII art | 1116 | 1153 | GPT-6 Luna |
| LiveBench design | Not measured | 82.5% | Only GPT-6 Luna measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index211
| Benchmark | GLM 5V Turbo | GPT-6 Luna | Leader |
|---|---|---|---|
| Vals Index | Not measured | 52.3% | Only GPT-6 Luna measured |
| LiveBench data analysis | Not measured | 73.4% | Only GPT-6 Luna measured |
| Public Benefits Bench (Vals AI) | Not measured | 57.6% | Only GPT-6 Luna measured |
| SAGE (Vals AI) | Not measured | 48.1% | Only GPT-6 Luna measured |
| MedScribe (Vals AI) | Not measured | 83.7% | Only GPT-6 Luna measured |
| IFBench | 61.1% | Not measured | Only GLM 5V Turbo measured |
| Long context reasoning (AA-LCR) | 70.3% | 83.3% | GPT-6 Luna |
| DTBench | Not measured | 90.1% | Only GPT-6 Luna measured |
| LMCA | Not measured | 44.5% | Only GPT-6 Luna measured |
| Furniture assembly | Not measured | 44.2% | Only GPT-6 Luna measured |
| LMArena Text | 1437 | 1389 | GLM 5V Turbo |
| LMArena Text: instruction following | 1423 | 1408 | GLM 5V Turbo |
| LMArena Text: creative writing | 1417 | 1363 | GLM 5V Turbo |
| LMArena Vision | 1264 | 1216 | GLM 5V Turbo |
| LMArena Text: English | 1454 | 1393 | GLM 5V Turbo |
| LMArena Text: non-English | 1420 | 1381 | GLM 5V Turbo |
| LMArena Text: Chinese | 1491 | 1427 | GLM 5V Turbo |
| LMArena Text: German | 1422 | 1376 | GLM 5V Turbo |
| LMArena Text: Japanese | Not measured | 1369 | Only GPT-6 Luna measured |
| LMArena Text: Korean | 1397 | 1359 | GLM 5V Turbo |
| LMArena Text: French | 1443 | 1408 | GLM 5V Turbo |
| LMArena Text: Spanish | 1452 | 1391 | GLM 5V Turbo |
| LMArena Text: Russian | 1432 | 1392 | GLM 5V Turbo |
| LMArena Text: Polish | 1432 | 1383 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1431 | 1392 | GLM 5V Turbo |
| LMArena Text: longer queries | 1438 | 1408 | GLM 5V Turbo |
| LMArena Text: writing and language | 1420 | 1384 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1407 | 1364 | GLM 5V Turbo |
| LMArena Vision: English | 1274 | 1204 | GLM 5V Turbo |
| LMArena Vision: Chinese | 1329 | 1266 | GLM 5V Turbo |
| LMArena Vision: reading text | 1270 | 1225 | GLM 5V Turbo |
| 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 | 1205 | GLM 5V Turbo |
| 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 | GPT-6 Luna | 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
GPT-6 Luna costs less
Repository review
50K input + 3K output tokens
GPT-6 Luna costs less
Agent loop
200K input + 10K output tokens
GPT-6 Luna 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 | OpenAI GPT-6 Luna |
|---|---|---|
| Maker | Z.ai | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 1, 2026 | September 22, 2026 |
| Context window | 203K | 1.05M |
| Input $/Mtok | $1.20 | $0.10 |
| Output $/Mtok | $4.00 | $0.50 |
| Coding index | Not benchmarked | 57.3 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5V Turbo better than GPT-6 Luna for coding?
Only GPT-6 Luna has a coding score, 57.3 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, GLM 5V Turbo or GPT-6 Luna?
GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; GPT-6 Luna costs $0.10 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, GLM 5V Turbo or GPT-6 Luna?
GPT-6 Luna, with 1.05M tokens against 203K.
How many benchmarks is the GLM 5V Turbo vs GPT-6 Luna comparison based on?
52 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-6 Luna's on 5. Where only one model has a result, the page says so instead of naming a winner.