Claude Sonnet 4.5 vs GLM 5V Turbo
GLM 5V Turbo leads Claude Sonnet 4.5 on the Artificial Analysis Intelligence Index, 23.5 to 20.7, and GLM 5V Turbo costs 3.8x less per output token ($4.00 vs $15.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.
Claude Sonnet 4.5 or GLM 5V Turbo: which to pick
Only Claude Sonnet 4.5 has a coding score, 39.5 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 3.8x cheaper ($4.00 vs $15.00 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
- Shared results
- 43
- Claude Sonnet 4.5 only
- 52
- GLM 5V Turbo only
- 22
- 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 Claude Sonnet 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GLM 5V Turbo
GLM 5V Turbo leads, 23.5 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 4.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Sonnet 4.5 has a GPQA Diamond result, 81.6%.
Directional only
Math
AIME
No call
Only Claude Sonnet 4.5 has a AIME result, 88.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Sonnet 4.5 has a MMLU Pro result, 87.4%.
Directional only
Web design
Design Arena: websites
GLM 5V Turbo
GLM 5V Turbo leads, 1230 against 1189.
Same board, both measured
Long documents
Listed context window
Claude Sonnet 4.5
Claude Sonnet 4.5 takes 1M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5V Turbo
Claude Sonnet 4.5 $0.011, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 4.5 has the number, $1.16.
Directional only
At a glance
- Coding index
- Claude Sonnet 4.5 39.5 from 3 benchmarks, GLM 5V Turbo not benchmarked.
- Widest category
- Agentic work, 6.9 points apart on average over 3 shared benchmarks.
- Widest single gap
- Design Arena: agents building full-stack apps: Claude Sonnet 4.5 1050 against GLM 5V Turbo 1149, 12.4 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.5 $15.00 against GLM 5V Turbo $4.00 per million output tokens, 3.8x apart.
- Context window
- Claude Sonnet 4.5 takes 1M tokens, GLM 5V Turbo 203K.
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 | Claude Sonnet 4.5 | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 3 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 2 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 3 | 1 | ||
| Web design | 1 | 7 | ||
| General | 14 | 3 | ||
| All shared boards | 27 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| SWE-bench Verified | 74.8% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Multilingual | 67.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena WebDev | 1394 | 1402 | GLM 5V Turbo |
| AA Coding Index | 52.1 | Not measured | Only Claude Sonnet 4.5 measured |
| LiveCodeBench (Vals AI) | 73.0% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Verified (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 4.5 measured |
| Vibe Code Bench (Vals AI) | 22.6% | Not measured | Only Claude Sonnet 4.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 32.6% | Only GLM 5V Turbo measured |
| Terminal-Bench | 46.5% | Not measured | Only Claude Sonnet 4.5 measured |
| GSO-Bench | 14.7% | Not measured | Only Claude Sonnet 4.5 measured |
| WeirdML | 47.7% | Not measured | Only Claude Sonnet 4.5 measured |
| Cybench | 60.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: coding | 1488 | 1466 | Claude Sonnet 4.5 |
| LMArena Text: software and IT | 1473 | 1460 | Claude Sonnet 4.5 |
| LMArena WebDev: React | 1386 | 1386 | GLM 5V Turbo |
| LMArena WebDev: HTML | 1399 | 1356 | Claude Sonnet 4.5 |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 23.5 | GLM 5V Turbo |
| Epoch Capabilities Index | 146.7 | Not measured | Only Claude Sonnet 4.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 15.8 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building web apps | 1060 | 1124 | GLM 5V Turbo |
| Design Arena: agents building full-stack apps | 1050 | 1149 | GLM 5V Turbo |
| Design Arena: agents building mobile apps | 1137 | 1134 | Claude Sonnet 4.5 |
| 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 | 1128 | Only GLM 5V Turbo measured |
| τ²-Bench Telecom | Not measured | 98.5% | Only GLM 5V Turbo measured |
| METR time horizons | 67.4% | Not measured | Only Claude Sonnet 4.5 measured |
| Remote Labor Index | 2.1% | Not measured | Only Claude Sonnet 4.5 measured |
| GDPval | 42.5% | Not measured | Only Claude Sonnet 4.5 measured |
| DeepResearch Bench | 52.6% | Not measured | Only Claude Sonnet 4.5 measured |
| OSWorld | 62.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Vending-Bench 2 | $3,839 | Not measured | Only Claude Sonnet 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 73.2% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 81.6% | Not measured | Only Claude Sonnet 4.5 measured |
| MMMU Pro (Vals AI) | 79.3% | Not measured | Only Claude Sonnet 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 80.9% | Only GLM 5V Turbo measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 17.1% | Only GLM 5V Turbo measured |
| GPQA Diamond (Epoch AI run) | 82.3% | Not measured | Only Claude Sonnet 4.5 measured |
| ARC-AGI | 63.7% | Not measured | Only Claude Sonnet 4.5 measured |
| ARC-AGI-2 | 13.6% | Not measured | Only Claude Sonnet 4.5 measured |
| SimpleBench | 54.3% | Not measured | Only Claude Sonnet 4.5 measured |
| Chess puzzles | 10.0% | Not measured | Only Claude Sonnet 4.5 measured |
| Mystery game puzzles | 17.0% | Not measured | Only Claude Sonnet 4.5 measured |
| EBR-bench | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| VPCT | 39.8% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1443 | Claude Sonnet 4.5 |
| LMArena Text: expert | 1483 | 1453 | Claude Sonnet 4.5 |
| LMArena Text: hard prompts in English | 1471 | 1456 | Claude Sonnet 4.5 |
| LMArena Vision: diagrams | Not measured | 1286 | Only GLM 5V Turbo measured |
| LMArena Vision: homework | Not measured | 1273 | Only GLM 5V Turbo measured |
| Kagi LLM Benchmark | 57.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AIME | 88.2% | Not measured | Only Claude Sonnet 4.5 measured |
| MGSM (Vals AI) | 94.3% | Not measured | Only Claude Sonnet 4.5 measured |
| OTIS Mock AIME | 77.8% | Not measured | Only Claude Sonnet 4.5 measured |
| FrontierMath, tiers 1 to 3 | 23.9% | Not measured | Only Claude Sonnet 4.5 measured |
| FrontierMath, tier 4 | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| ProofBench | 19.0% | Not measured | Only Claude Sonnet 4.5 measured |
| MATH level 5 | 97.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: math | 1449 | 1442 | Claude Sonnet 4.5 |
| LMArena Text: mathematical work | 1462 | 1447 | Claude Sonnet 4.5 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 87.4% | Not measured | Only Claude Sonnet 4.5 measured |
| LegalBench (Vals AI) | 84.1% | Not measured | Only Claude Sonnet 4.5 measured |
| CaseLaw (Vals AI) | 62.2% | Not measured | Only Claude Sonnet 4.5 measured |
| CorpFin (Vals AI) | 62.0% | Not measured | Only Claude Sonnet 4.5 measured |
| TaxEval (Vals AI) | 73.3% | Not measured | Only Claude Sonnet 4.5 measured |
| MortgageTax (Vals AI) | 64.0% | Not measured | Only Claude Sonnet 4.5 measured |
| MedQA (Vals AI) | 94.7% | Not measured | Only Claude Sonnet 4.5 measured |
| MedCode (Vals AI) | 44.1% | Not measured | Only Claude Sonnet 4.5 measured |
| SimpleQA Verified | 30.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: science | 1448 | 1448 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1444 | 1433 | Claude Sonnet 4.5 |
| LMArena Text: legal and government | 1451 | 1436 | Claude Sonnet 4.5 |
| LMArena Text: business and finance | 1440 | 1435 | Claude Sonnet 4.5 |
| FACTS Benchmark Suite | 40.6% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1189 | 1230 | GLM 5V Turbo |
| Design Arena: UI components | 1170 | 1210 | GLM 5V Turbo |
| Design Arena: game dev | 1166 | 1218 | GLM 5V Turbo |
| Design Arena: data viz | 1167 | 1202 | GLM 5V Turbo |
| Design Arena: 3D | 1157 | 1208 | GLM 5V Turbo |
| Design Arena: all code categories | 1182 | 1227 | GLM 5V Turbo |
| Design Arena: SVG | 1114 | 1150 | GLM 5V Turbo |
| Design Arena: ASCII art | 1205 | 1117 | Claude Sonnet 4.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index143
| Benchmark | Claude Sonnet 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 36.1% | Not measured | Only Claude Sonnet 4.5 measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Claude Sonnet 4.5 measured |
| IFBench | Not measured | 61.1% | Only GLM 5V Turbo measured |
| Long context reasoning (AA-LCR) | Not measured | 70.3% | Only GLM 5V Turbo measured |
| DTBench | 83.2% | Not measured | Only Claude Sonnet 4.5 measured |
| LMCA | 38.8% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text | 1438 | 1437 | Claude Sonnet 4.5 |
| LMArena Text: instruction following | 1459 | 1423 | Claude Sonnet 4.5 |
| LMArena Text: creative writing | 1442 | 1417 | Claude Sonnet 4.5 |
| LMArena Vision | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Text: English | 1450 | 1454 | GLM 5V Turbo |
| LMArena Text: non-English | 1425 | 1420 | Claude Sonnet 4.5 |
| LMArena Text: Chinese | 1460 | 1491 | GLM 5V Turbo |
| LMArena Text: German | 1427 | 1422 | Claude Sonnet 4.5 |
| LMArena Text: Japanese | 1390 | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: Korean | 1402 | 1397 | Claude Sonnet 4.5 |
| LMArena Text: French | 1459 | 1443 | Claude Sonnet 4.5 |
| LMArena Text: Spanish | 1458 | 1452 | Claude Sonnet 4.5 |
| LMArena Text: Russian | 1437 | 1432 | Claude Sonnet 4.5 |
| LMArena Text: Polish | 1423 | 1432 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1465 | 1431 | Claude Sonnet 4.5 |
| LMArena Text: longer queries | 1475 | 1438 | Claude Sonnet 4.5 |
| LMArena Text: writing and language | 1442 | 1420 | Claude Sonnet 4.5 |
| LMArena Text: entertainment and media | 1428 | 1407 | Claude Sonnet 4.5 |
| 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 | 1450 | 1416 | Claude Sonnet 4.5 |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 4.5 | 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
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 | Anthropic Claude Sonnet 4.5 | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | No public weights listed |
| Released | September 29, 2025 | April 1, 2026 |
| Context window | 1M | 203K |
| Input $/Mtok | $3.00 | $1.20 |
| Output $/Mtok | $15.00 | $4.00 |
| Coding index | 39.5 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $1.16 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.5 better than GLM 5V Turbo for coding?
Only Claude Sonnet 4.5 has a coding score, 39.5 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 3.8x cheaper ($4.00 vs $15.00 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
Which is cheaper, Claude Sonnet 4.5 or GLM 5V Turbo?
Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Claude Sonnet 4.5 only.
Which has the bigger context window, Claude Sonnet 4.5 or GLM 5V Turbo?
Claude Sonnet 4.5, with 1M tokens against 203K.
How many benchmarks is the Claude Sonnet 4.5 vs GLM 5V Turbo comparison based on?
43 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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.