GLM 5V Turbo vs Grok 4.3
Grok 4.3 leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 24.9 to 23.5, and Grok 4.3 costs 1.6x less per output token ($2.50 vs $4.00 per million). Updated October 22, 2026; 63 benchmarks have a result for both.
GLM 5V Turbo or Grok 4.3: which to pick
Only Grok 4.3 has a coding score, 37.4 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 WebDev or LMArena Text: coding, where it leads.
- Shared results
- 63
- GLM 5V Turbo only
- 2
- Grok 4.3 only
- 42
- 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 4.3 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.3
Grok 4.3 leads, 24.9 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.3 has a AA Agentic Index result, 15.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Grok 4.3 has a GPQA Diamond result, 91.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.3 has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
GLM 5V Turbo
GLM 5V Turbo leads, 1230 against 1196.
Same board, both measured
Long documents
Listed context window
Grok 4.3
Grok 4.3 takes 1M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.3
GLM 5V Turbo $0.0032, Grok 4.3 $0.0025 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.3 has the number, $0.31.
Directional only
At a glance
- Coding index
- GLM 5V Turbo not benchmarked, Grok 4.3 37.4 from 3 benchmarks.
- Widest category
- Agentic work, 12.8 points apart on average over 9 shared benchmarks.
- Widest single gap
- Design Arena: agents building Android apps: GLM 5V Turbo 1267 against Grok 4.3 962, 38.1 points apart on a 0 to 100 scale.
- Output price
- GLM 5V Turbo $4.00 against Grok 4.3 $2.50 per million output tokens, 1.6x apart.
- Context window
- GLM 5V Turbo takes 203K tokens, Grok 4.3 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 | Grok 4.3 | Ties |
|---|---|---|---|---|
| Coding | 5 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 8 | 1 | ||
| Reasoning | 5 | 2 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 7 | 1 | ||
| General | 23 | 2 | ||
| All shared boards | 54 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
| Benchmark | GLM 5V Turbo | Grok 4.3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1402 | 1358 | GLM 5V Turbo |
| AA Coding Index | Not measured | 42.2 | Only Grok 4.3 measured |
| LiveCodeBench (Vals AI) | Not measured | 84.5% | Only Grok 4.3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 71.4% | Only Grok 4.3 measured |
| Vibe Code Bench (Vals AI) | Not measured | 19.4% | Only Grok 4.3 measured |
| Code migration (Vals AI) | Not measured | 6.8% | Only Grok 4.3 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Grok 4.3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 42.0% | Only Grok 4.3 measured |
| SkillsBench (Vals AI) | Not measured | 40.6% | Only Grok 4.3 measured |
| SciCode | Not measured | 48.3% | Only Grok 4.3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 32.6% | 37.9% | Grok 4.3 |
| WeirdML | Not measured | 49.9% | Only Grok 4.3 measured |
| ALE-Bench | Not measured | 944.2 | Only Grok 4.3 measured |
| LMArena Text: coding | 1466 | 1415 | GLM 5V Turbo |
| LMArena Text: software and IT | 1460 | 1416 | GLM 5V Turbo |
| LMArena WebDev: React | 1386 | 1353 | GLM 5V Turbo |
| LMArena WebDev: HTML | 1356 | 1367 | Grok 4.3 |
| LMArena WebDev: from an image | 1425 | 1375 | GLM 5V Turbo |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 5V Turbo | Grok 4.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 24.9 | Grok 4.3 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index81
| Benchmark | GLM 5V Turbo | Grok 4.3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.5 | Only Grok 4.3 measured |
| Design Arena: agents building web apps | 1124 | 1126 | Grok 4.3 |
| Design Arena: agents building full-stack apps | 1149 | 1006 | GLM 5V Turbo |
| Design Arena: agents building mobile apps | 1134 | 1058 | GLM 5V Turbo |
| Design Arena: agents building Android apps | 1267 | 962 | GLM 5V Turbo |
| Design Arena: agents building Godot games | 957 | 914 | GLM 5V Turbo |
| Design Arena: agents building games | 1102 | 1007 | GLM 5V Turbo |
| Design Arena: HTML slides | 1070 | 959 | GLM 5V Turbo |
| Design Arena: PowerPoint slides | 1127 | 988 | GLM 5V Turbo |
| Design Arena: spreadsheets | Not measured | 879 | Only Grok 4.3 measured |
| Finance Agent (Vals AI) | Not measured | 37.7% | Only Grok 4.3 measured |
| Tax Agent Bench (Vals AI) | Not measured | 6.2% | Only Grok 4.3 measured |
| Legal Research Bench (Vals AI) | Not measured | 15.4% | Only Grok 4.3 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 18.4% | Only Grok 4.3 measured |
| τ²-Bench Telecom | 98.5% | 97.7% | GLM 5V Turbo |
| Vending-Bench 2 | Not measured | $35 | Only Grok 4.3 measured |
| LMArena Search | Not measured | 1166 | Only Grok 4.3 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | GLM 5V Turbo | Grok 4.3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 91.4% | Only Grok 4.3 measured |
| MMMU Pro (Vals AI) | Not measured | 83.1% | Only Grok 4.3 measured |
| GPQA Diamond (Artificial Analysis run) | 80.9% | 90.1% | Grok 4.3 |
| Humanity's Last Exam (Artificial Analysis run) | 17.1% | 37.2% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | Not measured | 88.8% | Only Grok 4.3 measured |
| Chess puzzles | Not measured | 18.0% | Only Grok 4.3 measured |
| LMArena Text: hard prompts | 1443 | 1396 | GLM 5V Turbo |
| LMArena Text: expert | 1453 | 1384 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1456 | 1402 | GLM 5V Turbo |
| LMArena Vision: diagrams | 1286 | 1241 | GLM 5V Turbo |
| LMArena Vision: homework | 1273 | 1241 | GLM 5V Turbo |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GLM 5V Turbo | Grok 4.3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 93.3% | Only Grok 4.3 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 42.8% | Only Grok 4.3 measured |
| FrontierMath, tier 4 | Not measured | 14.6% | Only Grok 4.3 measured |
| ProofBench | Not measured | 11.0% | Only Grok 4.3 measured |
| LMArena Text: math | 1442 | 1387 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1447 | 1396 | GLM 5V Turbo |
| 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 4.3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.8% | Only Grok 4.3 measured |
| LegalBench (Vals AI) | Not measured | 84.5% | Only Grok 4.3 measured |
| CaseLaw (Vals AI) | Not measured | 79.3% | Only Grok 4.3 measured |
| CorpFin (Vals AI) | Not measured | 68.5% | Only Grok 4.3 measured |
| TaxEval (Vals AI) | Not measured | 70.8% | Only Grok 4.3 measured |
| MortgageTax (Vals AI) | Not measured | 48.3% | Only Grok 4.3 measured |
| MedCode (Vals AI) | Not measured | 38.1% | Only Grok 4.3 measured |
| SimpleQA Verified | Not measured | 33.2% | Only Grok 4.3 measured |
| LMArena Text: science | 1448 | 1399 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1433 | 1384 | GLM 5V Turbo |
| LMArena Text: legal and government | 1436 | 1386 | GLM 5V Turbo |
| LMArena Text: business and finance | 1435 | 1381 | GLM 5V Turbo |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | GLM 5V Turbo | Grok 4.3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1196 | GLM 5V Turbo |
| Design Arena: UI components | 1210 | 1190 | GLM 5V Turbo |
| Design Arena: game dev | 1218 | 1173 | GLM 5V Turbo |
| Design Arena: data viz | 1202 | 1179 | GLM 5V Turbo |
| Design Arena: 3D | 1208 | 1124 | GLM 5V Turbo |
| Design Arena: all code categories | 1228 | 1186 | GLM 5V Turbo |
| Design Arena: SVG | 1151 | 1080 | GLM 5V Turbo |
| Design Arena: ASCII art | 1117 | 1125 | Grok 4.3 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index232
| Benchmark | GLM 5V Turbo | Grok 4.3 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 51.7% | Only Grok 4.3 measured |
| SAGE (Vals AI) | Not measured | 19.7% | Only Grok 4.3 measured |
| MedScribe (Vals AI) | Not measured | 74.4% | Only Grok 4.3 measured |
| Vals Multimodal Index | Not measured | 43.3% | Only Grok 4.3 measured |
| IFBench | 61.1% | 83.3% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 70.3% | 75.0% | Grok 4.3 |
| DTBench | Not measured | 90.7% | Only Grok 4.3 measured |
| LMCA | Not measured | 38.3% | Only Grok 4.3 measured |
| LMArena Text | 1437 | 1397 | GLM 5V Turbo |
| LMArena Text: instruction following | 1423 | 1366 | GLM 5V Turbo |
| LMArena Text: creative writing | 1417 | 1380 | GLM 5V Turbo |
| LMArena Vision | 1264 | 1229 | GLM 5V Turbo |
| LMArena Text: English | 1454 | 1404 | GLM 5V Turbo |
| LMArena Text: non-English | 1420 | 1385 | GLM 5V Turbo |
| LMArena Text: Chinese | 1491 | 1422 | GLM 5V Turbo |
| LMArena Text: German | 1422 | 1395 | GLM 5V Turbo |
| LMArena Text: Japanese | Not measured | 1379 | Only Grok 4.3 measured |
| LMArena Text: Korean | 1397 | 1354 | GLM 5V Turbo |
| LMArena Text: French | 1443 | 1411 | GLM 5V Turbo |
| LMArena Text: Spanish | 1452 | 1399 | GLM 5V Turbo |
| LMArena Text: Russian | 1432 | 1399 | GLM 5V Turbo |
| LMArena Text: Polish | 1432 | 1398 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1431 | 1406 | GLM 5V Turbo |
| LMArena Text: longer queries | 1438 | 1393 | GLM 5V Turbo |
| LMArena Text: writing and language | 1420 | 1385 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1407 | 1370 | GLM 5V Turbo |
| LMArena Vision: English | 1274 | 1235 | GLM 5V Turbo |
| LMArena Vision: Chinese | 1329 | 1257 | GLM 5V Turbo |
| LMArena Vision: reading text | 1270 | 1235 | GLM 5V Turbo |
| LMArena Vision: humor | 1268 | 1222 | GLM 5V Turbo |
| LMArena Vision: captioning | 1264 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | 1241 | 1217 | GLM 5V Turbo |
| LMArena Vision: creative writing | 1252 | 1237 | 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 | Grok 4.3 | 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
Grok 4.3 costs less
Repository review
50K input + 3K output tokens
Grok 4.3 costs less
Agent loop
200K input + 10K output tokens
Grok 4.3 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 4.3 |
|---|---|---|
| Maker | Z.ai | xAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 1, 2026 | April 30, 2026 |
| Context window | 203K | 1M |
| Input $/Mtok | $1.20 | $1.25 |
| Output $/Mtok | $4.00 | $2.50 |
| Coding index | Not benchmarked | 37.4 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | Not computable | $0.31 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5V Turbo better than Grok 4.3 for coding?
Only Grok 4.3 has a coding score, 37.4 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 WebDev or LMArena Text: coding, where it leads.
Which is cheaper, GLM 5V Turbo or Grok 4.3?
GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Cost per solved task is known for Grok 4.3 only.
Which has the bigger context window, GLM 5V Turbo or Grok 4.3?
Grok 4.3, with 1M tokens against 203K.
How many benchmarks is the GLM 5V Turbo vs Grok 4.3 comparison based on?
63 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 4.3's on 3. Where only one model has a result, the page says so instead of naming a winner.