Claude Opus 4.1 vs GLM 5V Turbo
Updated October 21, 2026. 38 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Claude Opus 4.1 and GLM 5V Turbo are level for coding, 27.2 against 28.8 on the Vibe Coding Index, so price and context decide.
Pick Claude Opus 4.1 when what matters is LMArena Text: coding or LMArena WebDev: HTML, where it leads. Pick GLM 5V Turbo when output tokens cost 18.8x less, or when the context window is larger, 203K against 200K tokens.
- Shared results
- 38
- Claude Opus 4.1 only
- 33
- GLM 5V Turbo only
- 27
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
No call
Level: 27.2 against 28.8, inside 2 points.
One benchmark behind each score
Intelligence
AA Intelligence Index
GLM 5V Turbo
GLM 5V Turbo leads, 23.5 against 22.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.1 has a GPQA Diamond result, 76.3%.
Directional only
Math
AIME
No call
Only Claude Opus 4.1 has a AIME result, 78.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.1 has a MMLU Pro result, 87.9%.
Directional only
Web design
Design Arena: websites
GLM 5V Turbo
GLM 5V Turbo leads, 1230 against 1177.
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 4.1 $0.052, GLM 5V Turbo $0.0032 per turn.
List prices
At a glance
- Coding index
- Claude Opus 4.1 27.2 from 1 benchmark, GLM 5V Turbo 28.8 from 1 benchmark.
- Widest category
- Web design, 5.4 points apart on average over 8 shared benchmarks.
- Widest single gap
- LMArena Text: Chinese: Claude Opus 4.1 1427 against GLM 5V Turbo 1491, 10.6 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against GLM 5V Turbo $4.00 per million output tokens, 18.8x apart.
- Context window
- Claude Opus 4.1 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 4.1 | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 2 | 6 | ||
| General | 3 | 13 | ||
| All shared boards | 7 | 31 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index22
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena WebDev | 1390 | 1402 | GLM 5V Turbo |
| LiveCodeBench (Vals AI) | 66.5% | Not measured | Only Claude Opus 4.1 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 32.6% | Only GLM 5V Turbo measured |
| Terminal-Bench | 38.0% | Not measured | Only Claude Opus 4.1 measured |
| WeirdML | 45.9% | Not measured | Only Claude Opus 4.1 measured |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: coding | 1479 | 1466 | Claude Opus 4.1 |
| LMArena Text: software and IT | 1456 | 1460 | GLM 5V Turbo |
| LMArena WebDev: React | Not measured | 1386 | Only GLM 5V Turbo measured |
| LMArena WebDev: HTML | 1399 | 1356 | Claude Opus 4.1 |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 23.5 | GLM 5V Turbo |
| Epoch Capabilities Index | 144.1 | Not measured | Only Claude Opus 4.1 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1124 | Only GLM 5V Turbo measured |
| Design Arena: agents building full-stack apps | Not measured | 1149 | Only GLM 5V Turbo measured |
| Design Arena: agents building mobile apps | Not measured | 1134 | Only GLM 5V Turbo measured |
| 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 | 1120 | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | Not measured | 1152 | Only GLM 5V Turbo measured |
| τ²-Bench Telecom | Not measured | 98.5% | Only GLM 5V Turbo measured |
| METR time horizons | 66.8% | Not measured | Only Claude Opus 4.1 measured |
| GDPval | 43.6% | Not measured | Only Claude Opus 4.1 measured |
| DeepResearch Bench | 48.3% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | Not measured | Only Claude Opus 4.1 measured |
| MMMU Pro (Vals AI) | 77.5% | Not measured | Only Claude Opus 4.1 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) | 77.3% | Not measured | Only Claude Opus 4.1 measured |
| SimpleBench | 60.0% | Not measured | Only Claude Opus 4.1 measured |
| Mystery game puzzles | 21.0% | Not measured | Only Claude Opus 4.1 measured |
| EBR-bench | 7.9% | Not measured | Only Claude Opus 4.1 measured |
| VPCT | 35.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: hard prompts | 1442 | 1443 | GLM 5V Turbo |
| LMArena Text: expert | 1438 | 1453 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1451 | 1456 | GLM 5V Turbo |
| LMArena Vision: diagrams | Not measured | 1286 | Only GLM 5V Turbo measured |
| LMArena Vision: homework | Not measured | 1273 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AIME | 78.2% | Not measured | Only Claude Opus 4.1 measured |
| MATH 500 (Vals AI) | 95.4% | Not measured | Only Claude Opus 4.1 measured |
| MGSM (Vals AI) | 94.4% | Not measured | Only Claude Opus 4.1 measured |
| OTIS Mock AIME | 68.9% | Not measured | Only Claude Opus 4.1 measured |
| FrontierMath, tiers 1 to 3 | 12.6% | Not measured | Only Claude Opus 4.1 measured |
| FrontierMath, tier 4 | 2.4% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: math | 1431 | 1442 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1434 | 1447 | GLM 5V Turbo |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | Not measured | Only Claude Opus 4.1 measured |
| LegalBench (Vals AI) | 83.5% | Not measured | Only Claude Opus 4.1 measured |
| TaxEval (Vals AI) | 73.7% | Not measured | Only Claude Opus 4.1 measured |
| MortgageTax (Vals AI) | 61.1% | Not measured | Only Claude Opus 4.1 measured |
| MedQA (Vals AI) | 93.6% | Not measured | Only Claude Opus 4.1 measured |
| MedCode (Vals AI) | 47.2% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: science | 1422 | 1448 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1416 | 1433 | GLM 5V Turbo |
| LMArena Text: legal and government | 1421 | 1436 | GLM 5V Turbo |
| LMArena Text: business and finance | 1406 | 1435 | 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 index26
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1177 | 1230 | GLM 5V Turbo |
| Design Arena: UI components | 1164 | 1213 | GLM 5V Turbo |
| Design Arena: game dev | 1172 | 1219 | GLM 5V Turbo |
| Design Arena: data viz | 1166 | 1202 | GLM 5V Turbo |
| Design Arena: 3D | 1153 | 1209 | GLM 5V Turbo |
| Design Arena: all code categories | 1171 | 1228 | GLM 5V Turbo |
| Design Arena: SVG | 1152 | 1151 | Claude Opus 4.1 |
| Design Arena: ASCII art | 1167 | 1118 | Claude Opus 4.1 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index313
| Benchmark | Claude Opus 4.1 | GLM 5V Turbo | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 31.4% | Not measured | Only Claude Opus 4.1 measured |
| MedScribe (Vals AI) | 73.9% | Not measured | Only Claude Opus 4.1 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 | 80.0% | Not measured | Only Claude Opus 4.1 measured |
| LMCA | 37.1% | Not measured | Only Claude Opus 4.1 measured |
| Creative writing (Lech Mazur) | 84.7% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text | 1419 | 1437 | GLM 5V Turbo |
| LMArena Text: instruction following | 1435 | 1423 | Claude Opus 4.1 |
| LMArena Text: creative writing | 1412 | 1417 | GLM 5V Turbo |
| LMArena Vision | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Text: English | 1433 | 1454 | GLM 5V Turbo |
| LMArena Text: non-English | 1405 | 1420 | GLM 5V Turbo |
| LMArena Text: Chinese | 1427 | 1491 | GLM 5V Turbo |
| LMArena Text: German | 1413 | 1422 | GLM 5V Turbo |
| LMArena Text: Japanese | 1377 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Korean | 1381 | 1397 | GLM 5V Turbo |
| LMArena Text: French | 1433 | 1443 | GLM 5V Turbo |
| LMArena Text: Spanish | 1448 | 1452 | GLM 5V Turbo |
| LMArena Text: Russian | 1422 | 1432 | GLM 5V Turbo |
| LMArena Text: Polish | 1413 | 1432 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1444 | 1431 | Claude Opus 4.1 |
| LMArena Text: longer queries | 1455 | 1438 | Claude Opus 4.1 |
| LMArena Text: writing and language | 1418 | 1420 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1398 | 1407 | GLM 5V Turbo |
| 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 | Not measured | 1416 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | 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 4.1 | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2025 | April 1, 2026 |
| Context window | 200K | 203K |
| Input $/Mtok | $15.00 | $1.20 |
| Output $/Mtok | $75.00 | $4.00 |
| Coding index | 27.2 | 28.8 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than GLM 5V Turbo for coding?
Claude Opus 4.1 and GLM 5V Turbo are level for coding, 27.2 against 28.8 on the Vibe Coding Index, so price and context decide. Pick Claude Opus 4.1 when what matters is LMArena Text: coding or LMArena WebDev: HTML, where it leads. Pick GLM 5V Turbo when output tokens cost 18.8x less, or when the context window is larger, 203K against 200K tokens.
Which is cheaper, Claude Opus 4.1 or GLM 5V Turbo?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Claude Opus 4.1 or GLM 5V Turbo?
GLM 5V Turbo, with 203K tokens against 200K.
How many benchmarks is the Claude Opus 4.1 vs GLM 5V Turbo comparison based on?
38 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.