GLM 5V Turbo vs Grok 4.6
Grok 4.6 leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 44.3 to 23.5, and GLM 5V Turbo costs 1.5x less per output token ($4.00 vs $6.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.
GLM 5V Turbo or Grok 4.6: which to pick
Only Grok 4.6 has a coding score, 65.7 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.
Pick GLM 5V Turbo for output tokens 1.5x cheaper ($4.00 vs $6.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 60
- GLM 5V Turbo only
- 5
- Grok 4.6 only
- 63
- 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 Grok 4.6 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.6
Grok 4.6 leads, 44.3 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.6 has a AA Agentic Index result, 53.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Grok 4.6 has a GPQA Diamond result, 94.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.6 has a MMLU Pro result, 89.4%.
Directional only
Web design
Design Arena: websites
Grok 4.6
Grok 4.6 leads, 1289 against 1230.
Same board, both measured
Long documents
Listed context window
Grok 4.6
Grok 4.6 takes 500K tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5V Turbo
GLM 5V Turbo $0.0032, Grok 4.6 $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.6 has the number, $0.82.
Directional only
At a glance
- Coding index
- GLM 5V Turbo not benchmarked, Grok 4.6 65.7 from 6 benchmarks.
- Widest category
- Coding, 22.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: GLM 5V Turbo 1356 against Grok 4.6 1597, 40.2 points apart on a 0 to 100 scale.
- Output price
- GLM 5V Turbo $4.00 against Grok 4.6 $6.00 per million output tokens, 1.5x apart.
- Context window
- GLM 5V Turbo takes 203K tokens, Grok 4.6 500K.
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 | Grok 4.6 | Ties |
|---|---|---|---|---|
| Coding | 2 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 8 | ||
| Reasoning | 2 | 5 | ||
| Math | 1 | 1 | ||
| Knowledge | 4 | 0 | ||
| Web design | 0 | 8 | ||
| General | 12 | 12 | ||
| All shared boards | 21 | 39 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 89.1% | Only Grok 4.6 measured |
| LMArena WebDev | 1402 | 1617 | Grok 4.6 |
| AA Coding Index | Not measured | 76.8 | Only Grok 4.6 measured |
| LiveCodeBench (Vals AI) | Not measured | 88.2% | Only Grok 4.6 measured |
| SWE-bench Verified (Vals AI) | Not measured | 95.6% | Only Grok 4.6 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 17.2% | Only Grok 4.6 measured |
| Vibe Code Bench (Vals AI) | Not measured | 76.2% | Only Grok 4.6 measured |
| Code migration (Vals AI) | Not measured | 44.6% | Only Grok 4.6 measured |
| ProgramBench (Vals AI) | Not measured | 1.0% | Only Grok 4.6 measured |
| IOI (Vals AI) | Not measured | 47.6% | Only Grok 4.6 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 78.3% | Only Grok 4.6 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.8% | Only Grok 4.6 measured |
| SkillsBench (Vals AI) | Not measured | 55.8% | Only Grok 4.6 measured |
| CyberBench (Vals AI) | Not measured | 67.7% | Only Grok 4.6 measured |
| SciCode | Not measured | 56.5% | Only Grok 4.6 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 32.6% | Not measured | Only GLM 5V Turbo measured |
| FrontierCode | Not measured | 48.0% | Only Grok 4.6 measured |
| FrontierSWE | Not measured | 25.3% | Only Grok 4.6 measured |
| WeirdML | Not measured | 67.3% | Only Grok 4.6 measured |
| ALE-Bench | Not measured | 1508.1 | Only Grok 4.6 measured |
| LMArena Text: coding | 1466 | 1466 | GLM 5V Turbo |
| LMArena Text: software and IT | 1460 | 1457 | GLM 5V Turbo |
| LMArena WebDev: React | 1386 | 1631 | Grok 4.6 |
| LMArena WebDev: HTML | 1356 | 1597 | Grok 4.6 |
| LMArena WebDev: from an image | 1425 | 1603 | Grok 4.6 |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 44.3 | Grok 4.6 |
| Epoch Capabilities Index | Not measured | 156.6 | Only Grok 4.6 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 53.0 | Only Grok 4.6 measured |
| Design Arena: agents building web apps | 1124 | 1248 | Grok 4.6 |
| Design Arena: agents building full-stack apps | 1149 | 1264 | Grok 4.6 |
| Design Arena: agents building mobile apps | 1134 | 1234 | Grok 4.6 |
| Design Arena: agents building Android apps | 1267 | 1291 | Grok 4.6 |
| Design Arena: agents building Godot games | 957 | 1276 | Grok 4.6 |
| Design Arena: agents building games | 1102 | 1210 | Grok 4.6 |
| Design Arena: HTML slides | 1070 | 1200 | Grok 4.6 |
| Design Arena: PowerPoint slides | 1128 | 1216 | Grok 4.6 |
| LiveBench research | Not measured | 84.5% | Only Grok 4.6 measured |
| LiveBench browser | Not measured | 64.0% | Only Grok 4.6 measured |
| LiveBench long agentic | Not measured | 40.7% | Only Grok 4.6 measured |
| Finance Agent (Vals AI) | Not measured | 53.7% | Only Grok 4.6 measured |
| Tax Agent Bench (Vals AI) | Not measured | 33.1% | Only Grok 4.6 measured |
| Legal Research Bench (Vals AI) | Not measured | 48.1% | Only Grok 4.6 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.7% | Only Grok 4.6 measured |
| BioMysteryBench (Vals AI) | Not measured | 72.2% | Only Grok 4.6 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 11.4% | Only Grok 4.6 measured |
| Vals Science Index | Not measured | 38.1% | Only Grok 4.6 measured |
| Time Horizon Index (Vals AI) | Not measured | 5.8% | Only Grok 4.6 measured |
| τ²-Bench Telecom | 98.5% | Not measured | Only GLM 5V Turbo measured |
| APEX-Agents | Not measured | 65.3% | Only Grok 4.6 measured |
| Vending-Bench 2 | Not measured | $9,047 | Only Grok 4.6 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 94.7% | Only Grok 4.6 measured |
| LiveBench reasoning | Not measured | 91.2% | Only Grok 4.6 measured |
| MysteryMechanism (Vals AI) | Not measured | 30.6% | Only Grok 4.6 measured |
| GPQA Diamond (Artificial Analysis run) | 80.9% | 94.9% | Grok 4.6 |
| Humanity's Last Exam (Artificial Analysis run) | 17.1% | 44.1% | Grok 4.6 |
| GPQA Diamond (Epoch AI run) | Not measured | 94.0% | Only Grok 4.6 measured |
| ARC-AGI | Not measured | 87.5% | Only Grok 4.6 measured |
| ARC-AGI-2 | Not measured | 67.1% | Only Grok 4.6 measured |
| SimpleBench | Not measured | 75.9% | Only Grok 4.6 measured |
| Chess puzzles | Not measured | 33.0% | Only Grok 4.6 measured |
| Mystery game puzzles | Not measured | 34.0% | Only Grok 4.6 measured |
| EBR-bench | Not measured | 30.5% | Only Grok 4.6 measured |
| LMArena Text: hard prompts | 1443 | 1448 | Grok 4.6 |
| LMArena Text: expert | 1453 | 1469 | Grok 4.6 |
| LMArena Text: hard prompts in English | 1456 | 1445 | GLM 5V Turbo |
| LMArena Vision: diagrams | 1286 | 1285 | GLM 5V Turbo |
| LMArena Vision: homework | 1273 | 1283 | Grok 4.6 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 99.2% | Only Grok 4.6 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 66.0% | Only Grok 4.6 measured |
| FrontierMath, tier 4 | Not measured | 31.7% | Only Grok 4.6 measured |
| ProofBench | Not measured | 51.0% | Only Grok 4.6 measured |
| LMArena Text: math | 1442 | 1417 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1447 | 1464 | Grok 4.6 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 89.4% | Only Grok 4.6 measured |
| LegalBench (Vals AI) | Not measured | 86.3% | Only Grok 4.6 measured |
| CorpFin (Vals AI) | Not measured | 66.2% | Only Grok 4.6 measured |
| TaxEval (Vals AI) | Not measured | 71.1% | Only Grok 4.6 measured |
| MortgageTax (Vals AI) | Not measured | 64.2% | Only Grok 4.6 measured |
| MedCode (Vals AI) | Not measured | 44.7% | Only Grok 4.6 measured |
| SimpleQA Verified | Not measured | 49.3% | Only Grok 4.6 measured |
| LMArena Text: science | 1448 | 1437 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1433 | 1420 | GLM 5V Turbo |
| LMArena Text: legal and government | 1436 | 1429 | GLM 5V Turbo |
| LMArena Text: business and finance | 1435 | 1416 | GLM 5V Turbo |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1289 | Grok 4.6 |
| Design Arena: UI components | 1210 | 1293 | Grok 4.6 |
| Design Arena: game dev | 1218 | 1295 | Grok 4.6 |
| Design Arena: data viz | 1202 | 1282 | Grok 4.6 |
| Design Arena: 3D | 1208 | 1275 | Grok 4.6 |
| Design Arena: all code categories | 1227 | 1292 | Grok 4.6 |
| Design Arena: SVG | 1150 | 1238 | Grok 4.6 |
| Design Arena: ASCII art | 1117 | 1279 | Grok 4.6 |
| LiveBench design | Not measured | 79.8% | Only Grok 4.6 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1212
| Benchmark | GLM 5V Turbo | Grok 4.6 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 75.3% | Only Grok 4.6 measured |
| Public Benefits Bench (Vals AI) | Not measured | 66.8% | Only Grok 4.6 measured |
| SAGE (Vals AI) | Not measured | 28.9% | Only Grok 4.6 measured |
| MedScribe (Vals AI) | Not measured | 86.5% | Only Grok 4.6 measured |
| IFBench | 61.1% | Not measured | Only GLM 5V Turbo measured |
| Long context reasoning (AA-LCR) | 70.3% | 81.0% | Grok 4.6 |
| DTBench | Not measured | 97.3% | Only Grok 4.6 measured |
| LMCA | Not measured | 48.5% | Only Grok 4.6 measured |
| Furniture assembly | Not measured | 40.0% | Only Grok 4.6 measured |
| LMArena Text | 1437 | 1429 | GLM 5V Turbo |
| LMArena Text: instruction following | 1423 | 1431 | Grok 4.6 |
| LMArena Text: creative writing | 1417 | 1426 | Grok 4.6 |
| LMArena Vision | 1264 | 1263 | GLM 5V Turbo |
| LMArena Text: English | 1454 | 1433 | GLM 5V Turbo |
| LMArena Text: non-English | 1420 | 1420 | GLM 5V Turbo |
| LMArena Text: Chinese | 1491 | 1476 | GLM 5V Turbo |
| LMArena Text: German | 1422 | 1426 | Grok 4.6 |
| LMArena Text: Japanese | Not measured | 1378 | Only Grok 4.6 measured |
| LMArena Text: Korean | 1397 | 1391 | GLM 5V Turbo |
| LMArena Text: French | 1443 | 1455 | Grok 4.6 |
| LMArena Text: Spanish | 1452 | 1414 | GLM 5V Turbo |
| LMArena Text: Russian | 1432 | 1421 | GLM 5V Turbo |
| LMArena Text: Polish | 1432 | 1430 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1431 | 1425 | GLM 5V Turbo |
| LMArena Text: longer queries | 1438 | 1456 | Grok 4.6 |
| LMArena Text: writing and language | 1420 | 1429 | Grok 4.6 |
| LMArena Text: entertainment and media | 1407 | 1421 | Grok 4.6 |
| LMArena Vision: English | 1274 | 1270 | GLM 5V Turbo |
| LMArena Vision: Chinese | 1329 | 1289 | GLM 5V Turbo |
| LMArena Vision: reading text | 1270 | 1272 | Grok 4.6 |
| LMArena Vision: humor | 1268 | 1270 | Grok 4.6 |
| 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 | 1262 | Grok 4.6 |
| LMArena Document | 1416 | 1452 | Grok 4.6 |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5V Turbo | Grok 4.6 | 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
GLM 5V Turbo costs less
Repository review
50K input + 3K output tokens
GLM 5V Turbo costs less
Agent loop
200K input + 10K output tokens
GLM 5V 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.
| Specification | Z.ai GLM 5V Turbo | SpaceXAI Grok 4.6 |
|---|---|---|
| Maker | Z.ai | xAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 1, 2026 | August 12, 2026 |
| Context window | 203K | 500K |
| Input $/Mtok | $1.20 | $2.00 |
| Output $/Mtok | $4.00 | $6.00 |
| Coding index | Not benchmarked | 65.7 |
| Independent measurements behind it | 1 | 6 |
| Cost per solved task | Not computable | $0.82 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5V Turbo better than Grok 4.6 for coding?
Only Grok 4.6 has a coding score, 65.7 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for output tokens 1.5x cheaper ($4.00 vs $6.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, GLM 5V Turbo or Grok 4.6?
GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Grok 4.6 costs $2.00 and $6.00. Cost per solved task is known for Grok 4.6 only.
Which has the bigger context window, GLM 5V Turbo or Grok 4.6?
Grok 4.6, with 500K tokens against 203K.
How many benchmarks is the GLM 5V Turbo vs Grok 4.6 comparison based on?
60 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Grok 4.6's on 6. Where only one model has a result, the page says so instead of naming a winner.