Claude Sonnet 5 vs GLM 4.7
Claude Sonnet 5 leads GLM 4.7 on coding, 57.7 to 55.1 on the Vibe Coding Index, and GLM 4.7 costs 4.5x less per output token ($2.20 vs $10.00 per million). Updated October 22, 2026; 66 benchmarks have a result for both.
Claude Sonnet 5 or GLM 4.7: which to pick
Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 55.1 for GLM 4.7.
Pick GLM 4.7 for output tokens 4.5x cheaper ($2.20 vs $10.00 per million) and a lower cost per solved task ($0.29 against $1.87).
- Shared results
- 66
- Claude Sonnet 5 only
- 55
- GLM 4.7 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
Claude Sonnet 5
Claude Sonnet 5 scores 57.7 against 55.1.
6 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Sonnet 5
Claude Sonnet 5 leads, 38.2 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 5 has a AA Agentic Index result, 43.6.
Directional only
Reasoning
GPQA Diamond
Claude Sonnet 5
Claude Sonnet 5 leads, 88.9% against 80.0%.
Same board, both measured
Math
AIME
No call
Only GLM 4.7 has a AIME result, 93.3%.
Directional only
Knowledge
MMLU Pro
Claude Sonnet 5
Claude Sonnet 5 leads, 87.5% against 82.7%.
Same board, both measured
Web design
Design Arena: websites
Claude Sonnet 5
Claude Sonnet 5 leads, 1274 against 1225.
Same board, both measured
Long documents
Listed context window
Claude Sonnet 5
Claude Sonnet 5 takes 1M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.7
Claude Sonnet 5 $0.0070, GLM 4.7 $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 4.7
Claude Sonnet 5 $1.87, GLM 4.7 $0.29.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Sonnet 5 57.7 from 6 benchmarks, GLM 4.7 55.1 from 2 benchmarks.
- Widest category
- Math, 25.3 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Sonnet 5 77.0% against GLM 4.7 6.0%, 71.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5 $10.00 against GLM 4.7 $2.20 per million output tokens, 4.5x apart.
- Context window
- Claude Sonnet 5 takes 1M tokens, GLM 4.7 205K.
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 5 | Bars | GLM 4.7 | Ties |
|---|---|---|---|---|
| Coding | 9 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 9 | 1 | ||
| Web design | 8 | 0 | ||
| General | 15 | 4 | ||
| All shared boards | 61 | 5 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| LiveBench coding | 74.7% | Not measured | Only Claude Sonnet 5 measured |
| LMArena WebDev | 1540 | 1435 | Claude Sonnet 5 |
| AA Coding Index | 71.5 | 45.3 | Claude Sonnet 5 |
| LiveCodeBench (Vals AI) | 82.4% | 82.2% | Claude Sonnet 5 |
| SWE-bench Verified (Vals AI) | 79.6% | 69.4% | Claude Sonnet 5 |
| Terminal-Bench 4 (Vals AI) | 10.6% | Not measured | Only Claude Sonnet 5 measured |
| Vibe Code Bench (Vals AI) | 81.3% | Not measured | Only Claude Sonnet 5 measured |
| Code migration (Vals AI) | 44.4% | Not measured | Only Claude Sonnet 5 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Sonnet 5 measured |
| IOI (Vals AI) | 45.0% | Not measured | Only Claude Sonnet 5 measured |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | Not measured | Only Claude Sonnet 5 measured |
| Vibe Code Bench 1-100 (Vals AI) | 13.8% | Not measured | Only Claude Sonnet 5 measured |
| SkillsBench (Vals AI) | 46.5% | Not measured | Only Claude Sonnet 5 measured |
| CyberBench (Vals AI) | 70.3% | Not measured | Only Claude Sonnet 5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 89.4% | Only GLM 4.7 measured |
| SciCode | 54.3% | Not measured | Only Claude Sonnet 5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 31.8% | Only GLM 4.7 measured |
| Terminal-Bench | Not measured | 33.4% | Only GLM 4.7 measured |
| FrontierCode | 42.7% | Not measured | Only Claude Sonnet 5 measured |
| GSO-Bench | 37.3% | Not measured | Only Claude Sonnet 5 measured |
| WeirdML | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| ALE-Bench | 1463.1 | 399.5 | Claude Sonnet 5 |
| LMArena Text: coding | 1483 | 1454 | Claude Sonnet 5 |
| LMArena Text: software and IT | 1474 | 1453 | Claude Sonnet 5 |
| LMArena WebDev: React | 1541 | 1420 | Claude Sonnet 5 |
| LMArena WebDev: HTML | 1527 | 1447 | Claude Sonnet 5 |
| LMArena WebDev: from an image | 1540 | Not measured | Only Claude Sonnet 5 measured |
| SciCode | 10.7% | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.2 | 22.2 | Claude Sonnet 5 |
| Epoch Capabilities Index | 156.9 | 143.6 | Claude Sonnet 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 43.6 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building web apps | 1245 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building full-stack apps | 1249 | 1050 | Claude Sonnet 5 |
| Design Arena: agents building mobile apps | 1215 | 1105 | Claude Sonnet 5 |
| Design Arena: agents building Android apps | 1227 | 1112 | Claude Sonnet 5 |
| Design Arena: agents building Godot games | 1225 | 1058 | Claude Sonnet 5 |
| Design Arena: agents building games | 1227 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: HTML slides | 1168 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: PowerPoint slides | 1191 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: spreadsheets | 1035 | Not measured | Only Claude Sonnet 5 measured |
| LiveBench research | 82.8% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench browser | 72.0% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench long agentic | 39.0% | Not measured | Only Claude Sonnet 5 measured |
| SREBench (Vals AI) | 0.4% | Not measured | Only Claude Sonnet 5 measured |
| Finance Agent (Vals AI) | 53.9% | Not measured | Only Claude Sonnet 5 measured |
| Tax Agent Bench (Vals AI) | 29.4% | Not measured | Only Claude Sonnet 5 measured |
| Legal Research Bench (Vals AI) | 41.8% | Not measured | Only Claude Sonnet 5 measured |
| Excel Modeling Benchmark (Vals AI) | 66.3% | Not measured | Only Claude Sonnet 5 measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Claude Sonnet 5 measured |
| τ²-Bench Telecom | Not measured | 95.9% | Only GLM 4.7 measured |
| APEX-Agents | 54.5% | Not measured | Only Claude Sonnet 5 measured |
| Vending-Bench 2 | $6,378 | $2,377 | Claude Sonnet 5 |
| BrowseComp-Plus | Not measured | 64.7% | Only GLM 4.7 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| GPQA Diamond | 88.9% | 80.0% | Claude Sonnet 5 |
| LiveBench reasoning | 88.7% | Not measured | Only Claude Sonnet 5 measured |
| MMMU Pro (Vals AI) | 83.0% | Not measured | Only Claude Sonnet 5 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 85.9% | Claude Sonnet 5 |
| Humanity's Last Exam (Artificial Analysis run) | 41.3% | 27.4% | Claude Sonnet 5 |
| GPQA Diamond (Epoch AI run) | 90.5% | 83.3% | Claude Sonnet 5 |
| SimpleBench | 60.6% | 47.7% | Claude Sonnet 5 |
| Chess puzzles | 45.0% | 21.0% | Claude Sonnet 5 |
| Mystery game puzzles | 35.0% | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: hard prompts | 1461 | 1443 | Claude Sonnet 5 |
| LMArena Text: expert | 1489 | 1424 | Claude Sonnet 5 |
| LMArena Text: hard prompts in English | 1464 | 1452 | Claude Sonnet 5 |
| LMArena Vision: diagrams | 1293 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: homework | 1311 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 93.3% | Only GLM 4.7 measured |
| MGSM (Vals AI) | Not measured | 88.2% | Only GLM 4.7 measured |
| AA Math Index | Not measured | 95.0 | Only GLM 4.7 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 95.0% | Only GLM 4.7 measured |
| OTIS Mock AIME | 94.7% | 83.3% | Claude Sonnet 5 |
| FrontierMath, tiers 1 to 3 | 65.6% | Not measured | Only Claude Sonnet 5 measured |
| FrontierMath, tier 4 | 29.3% | Not measured | Only Claude Sonnet 5 measured |
| ProofBench | 77.0% | 6.0% | Claude Sonnet 5 |
| LMArena Text: math | 1467 | 1424 | Claude Sonnet 5 |
| LMArena Text: mathematical work | 1481 | 1411 | Claude Sonnet 5 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| MMLU Pro | 87.5% | 82.7% | Claude Sonnet 5 |
| LegalBench (Vals AI) | 83.9% | 83.4% | Claude Sonnet 5 |
| CaseLaw (Vals AI) | Not measured | 54.9% | Only GLM 4.7 measured |
| CorpFin (Vals AI) | 67.0% | 46.4% | Claude Sonnet 5 |
| TaxEval (Vals AI) | 75.6% | 68.8% | Claude Sonnet 5 |
| MortgageTax (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 5 measured |
| MedQA (Vals AI) | Not measured | 93.7% | Only GLM 4.7 measured |
| MedCode (Vals AI) | 47.5% | 32.8% | Claude Sonnet 5 |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.6% | Only GLM 4.7 measured |
| SimpleQA Verified | 33.7% | 32.2% | Claude Sonnet 5 |
| LMArena Text: science | 1460 | 1457 | Claude Sonnet 5 |
| LMArena Text: medicine and healthcare | 1442 | 1469 | GLM 4.7 |
| LMArena Text: legal and government | 1454 | 1444 | Claude Sonnet 5 |
| LMArena Text: business and finance | 1436 | 1429 | Claude Sonnet 5 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1225 | Claude Sonnet 5 |
| Design Arena: UI components | 1277 | 1196 | Claude Sonnet 5 |
| Design Arena: game dev | 1277 | 1188 | Claude Sonnet 5 |
| Design Arena: data viz | 1251 | 1195 | Claude Sonnet 5 |
| Design Arena: 3D | 1261 | 1190 | Claude Sonnet 5 |
| Design Arena: all code categories | 1275 | 1216 | Claude Sonnet 5 |
| Design Arena: SVG | 1192 | 1142 | Claude Sonnet 5 |
| Design Arena: ASCII art | 1207 | 1165 | Claude Sonnet 5 |
| LiveBench design | 82.0% | Not measured | Only Claude Sonnet 5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index154
| Benchmark | Claude Sonnet 5 | GLM 4.7 | Leader |
|---|---|---|---|
| LiveBench data analysis | 71.7% | Not measured | Only Claude Sonnet 5 measured |
| Public Benefits Bench (Vals AI) | 66.0% | Not measured | Only Claude Sonnet 5 measured |
| SAGE (Vals AI) | 48.9% | Not measured | Only Claude Sonnet 5 measured |
| MedScribe (Vals AI) | 76.0% | 68.6% | Claude Sonnet 5 |
| Vals Multimodal Index | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| IFBench | Not measured | 67.9% | Only GLM 4.7 measured |
| Long context reasoning (AA-LCR) | 82.0% | 71.0% | Claude Sonnet 5 |
| DTBench | 92.5% | Not measured | Only Claude Sonnet 5 measured |
| LMCA | 50.0% | Not measured | Only Claude Sonnet 5 measured |
| CL-bench | Not measured | 15.9% | Only GLM 4.7 measured |
| Surface Evolver Bench | 60.0% | Not measured | Only Claude Sonnet 5 measured |
| CL-bench Life | Not measured | 10.9% | Only GLM 4.7 measured |
| LMArena Text | 1442 | 1435 | Claude Sonnet 5 |
| LMArena Text: instruction following | 1452 | 1412 | Claude Sonnet 5 |
| LMArena Text: creative writing | 1416 | 1401 | Claude Sonnet 5 |
| LMArena Vision | 1273 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: English | 1450 | 1453 | GLM 4.7 |
| LMArena Text: non-English | 1431 | 1417 | Claude Sonnet 5 |
| LMArena Text: Chinese | 1478 | 1495 | GLM 4.7 |
| LMArena Text: German | 1442 | 1426 | Claude Sonnet 5 |
| LMArena Text: Japanese | 1422 | 1439 | GLM 4.7 |
| LMArena Text: Korean | 1412 | 1399 | Claude Sonnet 5 |
| LMArena Text: French | 1463 | 1432 | Claude Sonnet 5 |
| LMArena Text: Spanish | 1438 | 1434 | Claude Sonnet 5 |
| LMArena Text: Russian | 1450 | 1423 | Claude Sonnet 5 |
| LMArena Text: Polish | 1425 | 1435 | GLM 4.7 |
| LMArena Text: multi-turn | 1453 | 1446 | Claude Sonnet 5 |
| LMArena Text: longer queries | 1462 | 1432 | Claude Sonnet 5 |
| LMArena Text: writing and language | 1436 | 1411 | Claude Sonnet 5 |
| LMArena Text: entertainment and media | 1411 | 1400 | Claude Sonnet 5 |
| LMArena Vision: English | 1275 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: Chinese | 1331 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: reading text | 1288 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: humor | 1261 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: creative writing | 1246 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Document | 1466 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5 | GLM 4.7 | 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 4.7 costs less
Repository review
50K input + 3K output tokens
GLM 4.7 costs less
Agent loop
200K input + 10K output tokens
GLM 4.7 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 5 | Z.ai GLM 4.7 |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | Open weights |
| Released | June 30, 2026 | December 22, 2025 |
| Context window | 1M | 205K |
| Input $/Mtok | $2.00 | $0.60 |
| Output $/Mtok | $10.00 | $2.20 |
| Coding index | 57.7 | 55.1 |
| Independent measurements behind it | 6 | 2 |
| Cost per solved task | $1.87 | $0.29 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5 better than GLM 4.7 for coding?
Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 55.1 for GLM 4.7. Pick GLM 4.7 for output tokens 4.5x cheaper ($2.20 vs $10.00 per million) and a lower cost per solved task ($0.29 against $1.87).
Which is cheaper, Claude Sonnet 5 or GLM 4.7?
Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Per solved SWE-bench Verified task, Claude Sonnet 5 costs $1.87 and GLM 4.7 $0.29.
Which has the bigger context window, Claude Sonnet 5 or GLM 4.7?
Claude Sonnet 5, with 1M tokens against 205K.
How many benchmarks is the Claude Sonnet 5 vs GLM 4.7 comparison based on?
66 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5's coding index rests on 6 independent benchmarks and GLM 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.