Claude Opus 4.5 vs GLM 5V Turbo
Claude Opus 4.5 leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 29.1 to 23.5, and GLM 5V Turbo costs 6.3x less per output token ($4.00 vs $25.00 per million). Updated October 22, 2026; 50 benchmarks have a result for both.
Claude Opus 4.5 or GLM 5V Turbo: which to pick
Only Claude Opus 4.5 has a coding score, 44.0 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 6.3x cheaper ($4.00 vs $25.00 per million) and a larger context window (203K against 200K tokens).
- Shared results
- 50
- Claude Opus 4.5 only
- 58
- GLM 5V Turbo only
- 15
- 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 Opus 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.5
Claude Opus 4.5 leads, 29.1 against 23.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.5 has a GPQA Diamond result, 85.9%.
Directional only
Math
AIME
No call
Only Claude Opus 4.5 has a AIME result, 95.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.5 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Claude Opus 4.5
Claude Opus 4.5 leads, 1247 against 1230.
Same board, both measured
Long documents
Listed context window
GLM 5V Turbo
GLM 5V Turbo takes 203K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5V Turbo
Claude Opus 4.5 $0.018, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.5 has the number, $1.37.
Directional only
At a glance
- Coding index
- Claude Opus 4.5 44.0 from 3 benchmarks, GLM 5V Turbo not benchmarked.
- Widest category
- Coding, 13.1 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: Claude Opus 4.5 1510 against GLM 5V Turbo 1356, 25.7 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.5 $25.00 against GLM 5V Turbo $4.00 per million output tokens, 6.3x apart.
- Context window
- Claude Opus 4.5 takes 200K 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 Opus 4.5 | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 3 | 2 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 8 | 0 | ||
| General | 17 | 2 | ||
| All shared boards | 46 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Claude Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| SWE-bench Verified | 79.2% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench (full test set) | 52.6% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Multilingual | 70.7% | Not measured | Only Claude Opus 4.5 measured |
| LMArena WebDev | 1494 | 1402 | Claude Opus 4.5 |
| LiveCodeBench (Vals AI) | 83.7% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Verified (Vals AI) | 76.4% | Not measured | Only Claude Opus 4.5 measured |
| Vibe Code Bench (Vals AI) | 20.6% | Not measured | Only Claude Opus 4.5 measured |
| LiveCodeBench (Artificial Analysis run) | 87.1% | Not measured | Only Claude Opus 4.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | 32.6% | Claude Opus 4.5 |
| Terminal-Bench | 63.1% | Not measured | Only Claude Opus 4.5 measured |
| GSO-Bench | 26.5% | Not measured | Only Claude Opus 4.5 measured |
| WeirdML | 63.7% | Not measured | Only Claude Opus 4.5 measured |
| Cybench | 82.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: coding | 1503 | 1466 | Claude Opus 4.5 |
| LMArena Text: software and IT | 1483 | 1460 | Claude Opus 4.5 |
| LMArena WebDev: React | 1478 | 1386 | Claude Opus 4.5 |
| LMArena WebDev: HTML | 1510 | 1356 | Claude Opus 4.5 |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.1 | 23.5 | Claude Opus 4.5 |
| Epoch Capabilities Index | 150.1 | Not measured | Only Claude Opus 4.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Claude Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1159 | 1124 | Claude Opus 4.5 |
| Design Arena: agents building full-stack apps | 1156 | 1149 | Claude Opus 4.5 |
| Design Arena: agents building mobile apps | 1189 | 1134 | Claude Opus 4.5 |
| Design Arena: agents building Android apps | 1176 | 1267 | GLM 5V Turbo |
| 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 | 1127 | Only GLM 5V Turbo measured |
| τ²-Bench Telecom | 89.5% | 98.5% | GLM 5V Turbo |
| METR time horizons | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| Remote Labor Index | 3.8% | Not measured | Only Claude Opus 4.5 measured |
| GDPval | 45.5% | Not measured | Only Claude Opus 4.5 measured |
| BALROG | 43.5% | Not measured | Only Claude Opus 4.5 measured |
| DeepResearch Bench | 54.8% | Not measured | Only Claude Opus 4.5 measured |
| OSWorld | 66.3% | Not measured | Only Claude Opus 4.5 measured |
| Vending-Bench 2 | $4,967 | Not measured | Only Claude Opus 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 77.5% | Not measured | Only Claude Opus 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 index50
| Benchmark | Claude Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 85.9% | Not measured | Only Claude Opus 4.5 measured |
| MMMU Pro (Vals AI) | 83.0% | Not measured | Only Claude Opus 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 86.6% | 80.9% | Claude Opus 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 30.1% | 17.1% | Claude Opus 4.5 |
| GPQA Diamond (Epoch AI run) | 86.0% | Not measured | Only Claude Opus 4.5 measured |
| ARC-AGI | 80.0% | Not measured | Only Claude Opus 4.5 measured |
| ARC-AGI-2 | 37.6% | Not measured | Only Claude Opus 4.5 measured |
| SimpleBench | 62.0% | Not measured | Only Claude Opus 4.5 measured |
| Chess puzzles | 14.0% | Not measured | Only Claude Opus 4.5 measured |
| Mystery game puzzles | 22.0% | Not measured | Only Claude Opus 4.5 measured |
| EBR-bench | 14.3% | Not measured | Only Claude Opus 4.5 measured |
| VPCT | 40.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: hard prompts | 1476 | 1443 | Claude Opus 4.5 |
| LMArena Text: expert | 1487 | 1453 | Claude Opus 4.5 |
| LMArena Text: hard prompts in English | 1482 | 1456 | Claude Opus 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 | 80.2% | Not measured | Only Claude Opus 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 Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AIME | 95.4% | Not measured | Only Claude Opus 4.5 measured |
| MGSM (Vals AI) | 95.2% | Not measured | Only Claude Opus 4.5 measured |
| AA Math Index | 91.3 | Not measured | Only Claude Opus 4.5 measured |
| AIME 2025 (Artificial Analysis run) | 91.3% | Not measured | Only Claude Opus 4.5 measured |
| OTIS Mock AIME | 86.1% | Not measured | Only Claude Opus 4.5 measured |
| FrontierMath, tiers 1 to 3 | 34.4% | Not measured | Only Claude Opus 4.5 measured |
| FrontierMath, tier 4 | 4.9% | Not measured | Only Claude Opus 4.5 measured |
| ProofBench | 36.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: math | 1463 | 1442 | Claude Opus 4.5 |
| LMArena Text: mathematical work | 1468 | 1447 | Claude Opus 4.5 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | Not measured | Only Claude Opus 4.5 measured |
| LegalBench (Vals AI) | 84.6% | Not measured | Only Claude Opus 4.5 measured |
| CaseLaw (Vals AI) | 62.6% | Not measured | Only Claude Opus 4.5 measured |
| CorpFin (Vals AI) | 65.1% | Not measured | Only Claude Opus 4.5 measured |
| TaxEval (Vals AI) | 74.9% | Not measured | Only Claude Opus 4.5 measured |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Claude Opus 4.5 measured |
| MedQA (Vals AI) | 95.9% | Not measured | Only Claude Opus 4.5 measured |
| MedCode (Vals AI) | 49.2% | Not measured | Only Claude Opus 4.5 measured |
| MMLU Pro (Artificial Analysis run) | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| SimpleQA Verified | 45.7% | Not measured | Only Claude Opus 4.5 measured |
| GeoBench | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: science | 1454 | 1448 | Claude Opus 4.5 |
| LMArena Text: medicine and healthcare | 1444 | 1433 | Claude Opus 4.5 |
| LMArena Text: legal and government | 1459 | 1436 | Claude Opus 4.5 |
| LMArena Text: business and finance | 1448 | 1435 | Claude Opus 4.5 |
| FACTS Benchmark Suite | 43.9% | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1247 | 1230 | Claude Opus 4.5 |
| Design Arena: UI components | 1235 | 1210 | Claude Opus 4.5 |
| Design Arena: game dev | 1228 | 1218 | Claude Opus 4.5 |
| Design Arena: data viz | 1243 | 1202 | Claude Opus 4.5 |
| Design Arena: 3D | 1213 | 1208 | Claude Opus 4.5 |
| Design Arena: all code categories | 1242 | 1228 | Claude Opus 4.5 |
| Design Arena: SVG | 1180 | 1151 | Claude Opus 4.5 |
| Design Arena: ASCII art | 1190 | 1117 | Claude Opus 4.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
| Benchmark | Claude Opus 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 52.1% | Not measured | Only Claude Opus 4.5 measured |
| MedScribe (Vals AI) | 85.3% | Not measured | Only Claude Opus 4.5 measured |
| IFBench | 58.0% | 61.1% | GLM 5V Turbo |
| Long context reasoning (AA-LCR) | 77.3% | 70.3% | Claude Opus 4.5 |
| DTBench | 89.9% | Not measured | Only Claude Opus 4.5 measured |
| LMCA | 44.5% | Not measured | Only Claude Opus 4.5 measured |
| CL-bench | 21.1% | Not measured | Only Claude Opus 4.5 measured |
| Furniture assembly | 28.3% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text | 1451 | 1437 | Claude Opus 4.5 |
| LMArena Text: instruction following | 1478 | 1423 | Claude Opus 4.5 |
| LMArena Text: creative writing | 1445 | 1417 | Claude Opus 4.5 |
| LMArena Vision | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Text: English | 1461 | 1454 | Claude Opus 4.5 |
| LMArena Text: non-English | 1438 | 1420 | Claude Opus 4.5 |
| LMArena Text: Chinese | 1470 | 1491 | GLM 5V Turbo |
| LMArena Text: German | 1449 | 1422 | Claude Opus 4.5 |
| LMArena Text: Japanese | 1417 | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: Korean | 1424 | 1397 | Claude Opus 4.5 |
| LMArena Text: French | 1471 | 1443 | Claude Opus 4.5 |
| LMArena Text: Spanish | 1457 | 1452 | Claude Opus 4.5 |
| LMArena Text: Russian | 1447 | 1432 | Claude Opus 4.5 |
| LMArena Text: Polish | 1439 | 1432 | Claude Opus 4.5 |
| LMArena Text: multi-turn | 1466 | 1431 | Claude Opus 4.5 |
| LMArena Text: longer queries | 1479 | 1438 | Claude Opus 4.5 |
| LMArena Text: writing and language | 1452 | 1420 | Claude Opus 4.5 |
| LMArena Text: entertainment and media | 1434 | 1407 | Claude Opus 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 | 1462 | 1416 | Claude Opus 4.5 |
| 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 | Claude Opus 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 Opus 4.5 | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | No public weights listed |
| Released | November 24, 2025 | April 1, 2026 |
| Context window | 200K | 203K |
| Input $/Mtok | $5.00 | $1.20 |
| Output $/Mtok | $25.00 | $4.00 |
| Coding index | 44.0 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $1.37 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.5 better than GLM 5V Turbo for coding?
Only Claude Opus 4.5 has a coding score, 44.0 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 6.3x cheaper ($4.00 vs $25.00 per million) and a larger context window (203K against 200K tokens).
Which is cheaper, Claude Opus 4.5 or GLM 5V Turbo?
Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Claude Opus 4.5 only.
Which has the bigger context window, Claude Opus 4.5 or GLM 5V Turbo?
GLM 5V Turbo, with 203K tokens against 200K.
How many benchmarks is the Claude Opus 4.5 vs GLM 5V Turbo comparison based on?
50 benchmarks have a result for both models as of October 22, 2026. Claude Opus 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.