Claude Opus 4.7 vs GLM 5V Turbo
Claude Opus 4.7 leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 40.7 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; 48 benchmarks have a result for both.
Claude Opus 4.7 or GLM 5V Turbo: which to pick
Only Claude Opus 4.7 has a coding score, 67.5 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 6.3x cheaper ($4.00 vs $25.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.
- Shared results
- 48
- Claude Opus 4.7 only
- 55
- GLM 5V Turbo only
- 17
- Like-for-like categories
- 7 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 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Opus 4.7 has a AA Agentic Index result, 38.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.7 has a GPQA Diamond result, 90.2%.
Directional only
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.7 has a MMLU Pro result, 89.9%.
Directional only
Web design
Design Arena: websites
No call
Only GLM 5V Turbo has a Design Arena: websites result, 1230.
Directional only
Long documents
Listed context window
Claude Opus 4.7
Claude Opus 4.7 takes 1M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5V Turbo
Claude Opus 4.7 $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 4.7 has the number, $2.95.
Directional only
At a glance
- Coding index
- Claude Opus 4.7 67.5 from 4 benchmarks, GLM 5V Turbo not benchmarked.
- Widest category
- Coding, 21.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: Claude Opus 4.7 1554 against GLM 5V Turbo 1356, 32.9 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against GLM 5V Turbo $4.00 per million output tokens, 6.3x apart.
- Context window
- Claude Opus 4.7 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 Opus 4.7 | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 25 | 1 | ||
| All shared boards | 46 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena WebDev | 1558 | 1402 | Claude Opus 4.7 |
| AA Coding Index | 73.6 | Not measured | Only Claude Opus 4.7 measured |
| LiveCodeBench (Vals AI) | 85.1% | Not measured | Only Claude Opus 4.7 measured |
| SWE-bench Verified (Vals AI) | 82.0% | Not measured | Only Claude Opus 4.7 measured |
| Vibe Code Bench (Vals AI) | 71.0% | Not measured | Only Claude Opus 4.7 measured |
| Code migration (Vals AI) | 43.9% | Not measured | Only Claude Opus 4.7 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 54.5% | 32.6% | Claude Opus 4.7 |
| Terminal-Bench | 80.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierCode | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| GSO-Bench | 44.1% | Not measured | Only Claude Opus 4.7 measured |
| WeirdML | 76.4% | Not measured | Only Claude Opus 4.7 measured |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: coding | 1519 | 1466 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1516 | 1460 | Claude Opus 4.7 |
| LMArena WebDev: React | 1560 | 1386 | Claude Opus 4.7 |
| LMArena WebDev: HTML | 1554 | 1356 | Claude Opus 4.7 |
| LMArena WebDev: from an image | 1577 | 1425 | Claude Opus 4.7 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 23.5 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | Not measured | Only Claude Opus 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | Not measured | Only Claude Opus 4.7 measured |
| 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 | 1070 | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | Not measured | 1127 | Only GLM 5V Turbo measured |
| Finance Agent (Vals AI) | 51.5% | Not measured | Only Claude Opus 4.7 measured |
| Tax Agent Bench (Vals AI) | 23.7% | Not measured | Only Claude Opus 4.7 measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 63.7% | Not measured | Only Claude Opus 4.7 measured |
| τ²-Bench Telecom | 88.6% | 98.5% | GLM 5V Turbo |
| APEX-Agents | 49.2% | Not measured | Only Claude Opus 4.7 measured |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| MMMU Pro (Vals AI) | 85.5% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 91.4% | 80.9% | Claude Opus 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 17.1% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI | 93.5% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI-2 | 75.8% | Not measured | Only Claude Opus 4.7 measured |
| SimpleBench | 61.7% | Not measured | Only Claude Opus 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Claude Opus 4.7 measured |
| Mystery game puzzles | 28.0% | Not measured | Only Claude Opus 4.7 measured |
| EBR-bench | 19.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1506 | 1443 | Claude Opus 4.7 |
| LMArena Text: expert | 1521 | 1453 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1508 | 1456 | Claude Opus 4.7 |
| LMArena Vision: diagrams | 1336 | 1286 | Claude Opus 4.7 |
| LMArena Vision: homework | 1337 | 1273 | Claude Opus 4.7 |
| Kagi LLM Benchmark | 80.7% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| OTIS Mock AIME | 97.8% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tiers 1 to 3 | 70.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tier 4 | 31.7% | Not measured | Only Claude Opus 4.7 measured |
| ProofBench | 54.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: math | 1498 | 1442 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1509 | 1447 | Claude Opus 4.7 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | Not measured | Only Claude Opus 4.7 measured |
| LegalBench (Vals AI) | 85.3% | Not measured | Only Claude Opus 4.7 measured |
| CaseLaw (Vals AI) | 68.4% | Not measured | Only Claude Opus 4.7 measured |
| CorpFin (Vals AI) | 66.1% | Not measured | Only Claude Opus 4.7 measured |
| TaxEval (Vals AI) | 75.3% | Not measured | Only Claude Opus 4.7 measured |
| MortgageTax (Vals AI) | 70.3% | Not measured | Only Claude Opus 4.7 measured |
| MedCode (Vals AI) | 54.9% | Not measured | Only Claude Opus 4.7 measured |
| SimpleQA Verified | 51.7% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1508 | 1448 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1495 | 1433 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1504 | 1436 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1490 | 1435 | Claude Opus 4.7 |
| FACTS Benchmark Suite | 45.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1230 | Only GLM 5V Turbo measured |
| Design Arena: UI components | Not measured | 1210 | Only GLM 5V Turbo measured |
| Design Arena: game dev | Not measured | 1218 | Only GLM 5V Turbo measured |
| Design Arena: data viz | Not measured | 1202 | Only GLM 5V Turbo measured |
| Design Arena: 3D | Not measured | 1208 | Only GLM 5V Turbo measured |
| Design Arena: all code categories | Not measured | 1228 | Only GLM 5V Turbo measured |
| Design Arena: SVG | Not measured | 1151 | Only GLM 5V Turbo measured |
| Design Arena: ASCII art | Not measured | 1117 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index251
| Benchmark | Claude Opus 4.7 | GLM 5V Turbo | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 56.1% | Not measured | Only Claude Opus 4.7 measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Claude Opus 4.7 measured |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | 61.1% | GLM 5V Turbo |
| Long context reasoning (AA-LCR) | 78.7% | 70.3% | Claude Opus 4.7 |
| DTBench | 94.7% | Not measured | Only Claude Opus 4.7 measured |
| LMCA | 52.2% | Not measured | Only Claude Opus 4.7 measured |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | 1437 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1498 | 1423 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1486 | 1417 | Claude Opus 4.7 |
| LMArena Vision | 1317 | 1264 | Claude Opus 4.7 |
| LMArena Text: English | 1496 | 1454 | Claude Opus 4.7 |
| LMArena Text: non-English | 1480 | 1420 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1531 | 1491 | Claude Opus 4.7 |
| LMArena Text: German | 1495 | 1422 | Claude Opus 4.7 |
| LMArena Text: Japanese | 1474 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Korean | 1464 | 1397 | Claude Opus 4.7 |
| LMArena Text: French | 1503 | 1443 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1494 | 1452 | Claude Opus 4.7 |
| LMArena Text: Russian | 1494 | 1432 | Claude Opus 4.7 |
| LMArena Text: Polish | 1489 | 1432 | Claude Opus 4.7 |
| LMArena Text: multi-turn | 1505 | 1431 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1505 | 1438 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1492 | 1420 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1474 | 1407 | Claude Opus 4.7 |
| LMArena Vision: English | 1322 | 1274 | Claude Opus 4.7 |
| LMArena Vision: Chinese | 1371 | 1329 | Claude Opus 4.7 |
| LMArena Vision: reading text | 1327 | 1270 | Claude Opus 4.7 |
| LMArena Vision: humor | 1309 | 1268 | Claude Opus 4.7 |
| LMArena Vision: captioning | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | 1278 | 1241 | Claude Opus 4.7 |
| LMArena Vision: creative writing | 1326 | 1252 | Claude Opus 4.7 |
| LMArena Document | 1495 | 1416 | Claude Opus 4.7 |
| 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 | Claude Opus 4.7 | 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 4.7 | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | No public weights listed |
| Released | April 16, 2026 | April 1, 2026 |
| Context window | 1M | 203K |
| Input $/Mtok | $5.00 | $1.20 |
| Output $/Mtok | $25.00 | $4.00 |
| Coding index | 67.5 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | $2.95 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than GLM 5V Turbo for coding?
Only Claude Opus 4.7 has a coding score, 67.5 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 6.3x cheaper ($4.00 vs $25.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.
Which is cheaper, Claude Opus 4.7 or GLM 5V Turbo?
Claude Opus 4.7 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 4.7 only.
Which has the bigger context window, Claude Opus 4.7 or GLM 5V Turbo?
Claude Opus 4.7, with 1M tokens against 203K.
How many benchmarks is the Claude Opus 4.7 vs GLM 5V Turbo comparison based on?
48 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 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.