Claude Sonnet 4.6 vs GLM 4.6
Updated October 21, 2026. 59 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Sonnet 4.6 for coding: it scores 57.8 on the Vibe Coding Index against 52.2 for GLM 4.6.
Pick GLM 4.6 when output tokens cost 6.8x less, or when what matters is AIME or MedQA (Vals AI), where it leads.
- Shared results
- 59
- Claude Sonnet 4.6 only
- 58
- GLM 4.6 only
- 7
- Like-for-like categories
- 8 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
Claude Sonnet 4.6
Claude Sonnet 4.6 scores 57.8 against 52.2.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Sonnet 4.6
Claude Sonnet 4.6 leads, 30.1 against 18.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 4.6 has a AA Agentic Index result, 31.8.
Directional only
Reasoning
GPQA Diamond
Claude Sonnet 4.6
Claude Sonnet 4.6 leads, 85.6% against 74.5%.
Same board, both measured
Math
AIME
GLM 4.6
GLM 4.6 leads, 92.7% against 92.3%.
Same board, both measured
Knowledge
MMLU Pro
Claude Sonnet 4.6
Claude Sonnet 4.6 leads, 87.3% against 82.2%.
Same board, both measured
Web design
Design Arena: websites
Claude Sonnet 4.6
Claude Sonnet 4.6 leads, 1285 against 1174.
Same board, both measured
Long documents
Listed context window
Claude Sonnet 4.6
Claude Sonnet 4.6 takes 1M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.6
Claude Sonnet 4.6 $0.011, GLM 4.6 $0.0016 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 4.6 has the number, $1.68.
Directional only
At a glance
- Coding index
- Claude Sonnet 4.6 57.8 from 2 benchmarks, GLM 4.6 52.2 from 2 benchmarks.
- Widest category
- Coding, 21.6 points apart on average over 9 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Sonnet 4.6 55.8% against GLM 4.6 3.1%, 52.7 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.6 $15.00 against GLM 4.6 $2.20 per million output tokens, 6.8x apart.
- Context window
- Claude Sonnet 4.6 takes 1M tokens, GLM 4.6 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 4.6 | Bars | GLM 4.6 | Ties |
|---|---|---|---|---|
| Coding | 9 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 2 | 1 | ||
| Knowledge | 7 | 2 | ||
| Web design | 7 | 0 | ||
| General | 16 | 3 | ||
| All shared boards | 53 | 6 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index90
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 68.2% | Only GLM 4.6 measured |
| LiveBench coding | 66.6% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena WebDev | 1523 | 1341 | Claude Sonnet 4.6 |
| AA Coding Index | 63.0 | 45.8 | Claude Sonnet 4.6 |
| LiveCodeBench (Vals AI) | 82.1% | 81.0% | Claude Sonnet 4.6 |
| SWE-bench Verified (Vals AI) | 77.4% | Not measured | Only Claude Sonnet 4.6 measured |
| Vibe Code Bench (Vals AI) | 55.8% | 3.1% | Claude Sonnet 4.6 |
| Code migration (Vals AI) | 39.9% | Not measured | Only Claude Sonnet 4.6 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Claude Sonnet 4.6 measured |
| Terminal-Bench 2.1 (Vals AI) | 57.3% | Not measured | Only Claude Sonnet 4.6 measured |
| SkillsBench (Vals AI) | 49.0% | Not measured | Only Claude Sonnet 4.6 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 69.5% | Only GLM 4.6 measured |
| SciCode | 50.1% | Not measured | Only Claude Sonnet 4.6 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 53.0% | 28.8% | Claude Sonnet 4.6 |
| Terminal-Bench | 53.4% | 24.5% | Claude Sonnet 4.6 |
| FrontierCode | 24.3% | Not measured | Only Claude Sonnet 4.6 measured |
| WeirdML | 66.1% | Not measured | Only Claude Sonnet 4.6 measured |
| ALE-Bench | Not measured | 340.8 | Only GLM 4.6 measured |
| LMArena Text: coding | 1503 | 1449 | Claude Sonnet 4.6 |
| LMArena Text: software and IT | 1491 | 1455 | Claude Sonnet 4.6 |
| LMArena WebDev: React | 1512 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena WebDev: HTML | 1527 | 1350 | Claude Sonnet 4.6 |
| LMArena WebDev: from an image | 1529 | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 30.1 | 18.5 | Claude Sonnet 4.6 |
| Epoch Capabilities Index | 152.8 | Not measured | Only Claude Sonnet 4.6 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 31.8 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building web apps | 1190 | Not measured | Only Claude Sonnet 4.6 measured |
| Design Arena: agents building full-stack apps | 1213 | 1029 | Claude Sonnet 4.6 |
| Design Arena: agents building mobile apps | 1212 | 1096 | Claude Sonnet 4.6 |
| Design Arena: agents building Android apps | 1202 | 1090 | Claude Sonnet 4.6 |
| Design Arena: agents building Godot games | 1226 | 1180 | Claude Sonnet 4.6 |
| Design Arena: agents building games | 1177 | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench research | 63.6% | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench browser | 68.0% | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench long agentic | 23.1% | Not measured | Only Claude Sonnet 4.6 measured |
| Finance Agent (Vals AI) | 51.0% | Not measured | Only Claude Sonnet 4.6 measured |
| Tax Agent Bench (Vals AI) | 25.8% | Not measured | Only Claude Sonnet 4.6 measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only Claude Sonnet 4.6 measured |
| Excel Modeling Benchmark (Vals AI) | 60.2% | Not measured | Only Claude Sonnet 4.6 measured |
| τ²-Bench Telecom | 79.5% | 76.9% | Claude Sonnet 4.6 |
| APEX-Agents | 43.0% | Not measured | Only Claude Sonnet 4.6 measured |
| OSWorld 2.0 | 9.3% | Not measured | Only Claude Sonnet 4.6 measured |
| DeepResearch Bench | 54.9% | Not measured | Only Claude Sonnet 4.6 measured |
| OSWorld | 72.1% | Not measured | Only Claude Sonnet 4.6 measured |
| Vending-Bench 2 | $7,204 | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| GPQA Diamond | 85.6% | 74.5% | Claude Sonnet 4.6 |
| LiveBench reasoning | 86.4% | Not measured | Only Claude Sonnet 4.6 measured |
| MMMU Pro (Vals AI) | 83.6% | Not measured | Only Claude Sonnet 4.6 measured |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 78.0% | Claude Sonnet 4.6 |
| Humanity's Last Exam (Artificial Analysis run) | 33.6% | 14.5% | Claude Sonnet 4.6 |
| GPQA Diamond (Epoch AI run) | 87.4% | Not measured | Only Claude Sonnet 4.6 measured |
| ARC-AGI | 86.5% | Not measured | Only Claude Sonnet 4.6 measured |
| ARC-AGI-2 | 60.4% | Not measured | Only Claude Sonnet 4.6 measured |
| Chess puzzles | 23.0% | Not measured | Only Claude Sonnet 4.6 measured |
| Mystery game puzzles | 16.0% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: hard prompts | 1485 | 1440 | Claude Sonnet 4.6 |
| LMArena Text: expert | 1500 | 1432 | Claude Sonnet 4.6 |
| LMArena Text: hard prompts in English | 1493 | 1445 | Claude Sonnet 4.6 |
| LMArena Vision: diagrams | 1306 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: homework | 1311 | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| AIME | 92.3% | 92.7% | GLM 4.6 |
| MGSM (Vals AI) | Not measured | 89.8% | Only GLM 4.6 measured |
| AA Math Index | Not measured | 86.0 | Only GLM 4.6 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 86.0% | Only GLM 4.6 measured |
| OTIS Mock AIME | 85.8% | Not measured | Only Claude Sonnet 4.6 measured |
| ProofBench | 45.0% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: math | 1462 | 1432 | Claude Sonnet 4.6 |
| LMArena Text: mathematical work | 1483 | 1447 | Claude Sonnet 4.6 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 82.2% | Claude Sonnet 4.6 |
| LegalBench (Vals AI) | 82.1% | 79.6% | Claude Sonnet 4.6 |
| CaseLaw (Vals AI) | 64.0% | Not measured | Only Claude Sonnet 4.6 measured |
| CorpFin (Vals AI) | 65.3% | 56.8% | Claude Sonnet 4.6 |
| TaxEval (Vals AI) | 77.1% | 66.2% | Claude Sonnet 4.6 |
| MortgageTax (Vals AI) | 67.7% | Not measured | Only Claude Sonnet 4.6 measured |
| MedQA (Vals AI) | 92.1% | 92.2% | GLM 4.6 |
| MMLU Pro (Artificial Analysis run) | Not measured | 82.9% | Only GLM 4.6 measured |
| SimpleQA Verified | 35.5% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: science | 1474 | 1456 | Claude Sonnet 4.6 |
| LMArena Text: medicine and healthcare | 1451 | 1455 | GLM 4.6 |
| LMArena Text: legal and government | 1470 | 1448 | Claude Sonnet 4.6 |
| LMArena Text: business and finance | 1464 | 1416 | Claude Sonnet 4.6 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1285 | 1174 | Claude Sonnet 4.6 |
| Design Arena: UI components | 1271 | 1147 | Claude Sonnet 4.6 |
| Design Arena: game dev | 1259 | 1151 | Claude Sonnet 4.6 |
| Design Arena: data viz | 1278 | 1161 | Claude Sonnet 4.6 |
| Design Arena: 3D | 1234 | 1129 | Claude Sonnet 4.6 |
| Design Arena: all code categories | 1276 | 1166 | Claude Sonnet 4.6 |
| Design Arena: SVG | 1196 | 1108 | Claude Sonnet 4.6 |
| Design Arena: ASCII art | 1235 | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench design | 71.8% | Not measured | Only Claude Sonnet 4.6 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index163
| Benchmark | Claude Sonnet 4.6 | GLM 4.6 | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.1% | Not measured | Only Claude Sonnet 4.6 measured |
| Public Benefits Bench (Vals AI) | 62.5% | Not measured | Only Claude Sonnet 4.6 measured |
| SAGE (Vals AI) | 46.6% | Not measured | Only Claude Sonnet 4.6 measured |
| Vals Multimodal Index | 60.6% | Not measured | Only Claude Sonnet 4.6 measured |
| IFBench | 56.6% | 43.4% | Claude Sonnet 4.6 |
| Long context reasoning (AA-LCR) | 80.0% | 54.0% | Claude Sonnet 4.6 |
| DTBench | 89.9% | Not measured | Only Claude Sonnet 4.6 measured |
| LMCA | 46.5% | Not measured | Only Claude Sonnet 4.6 measured |
| ExploitBench | 23.6% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text | 1458 | 1440 | Claude Sonnet 4.6 |
| LMArena Text: instruction following | 1476 | 1410 | Claude Sonnet 4.6 |
| LMArena Text: creative writing | 1435 | 1412 | Claude Sonnet 4.6 |
| LMArena Vision | 1283 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: English | 1472 | 1449 | Claude Sonnet 4.6 |
| LMArena Text: non-English | 1440 | 1426 | Claude Sonnet 4.6 |
| LMArena Text: Chinese | 1491 | 1499 | GLM 4.6 |
| LMArena Text: German | 1428 | 1447 | GLM 4.6 |
| LMArena Text: Japanese | 1420 | 1393 | Claude Sonnet 4.6 |
| LMArena Text: Korean | 1410 | 1400 | Claude Sonnet 4.6 |
| LMArena Text: French | 1465 | 1459 | Claude Sonnet 4.6 |
| LMArena Text: Spanish | 1464 | 1436 | Claude Sonnet 4.6 |
| LMArena Text: Russian | 1440 | 1418 | Claude Sonnet 4.6 |
| LMArena Text: Polish | 1443 | 1447 | GLM 4.6 |
| LMArena Text: multi-turn | 1464 | 1427 | Claude Sonnet 4.6 |
| LMArena Text: longer queries | 1479 | 1422 | Claude Sonnet 4.6 |
| LMArena Text: writing and language | 1444 | 1415 | Claude Sonnet 4.6 |
| LMArena Text: entertainment and media | 1431 | 1409 | Claude Sonnet 4.6 |
| LMArena Vision: English | 1298 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: Chinese | 1307 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: reading text | 1296 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: humor | 1248 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: recognizing things | 1195 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: creative writing | 1272 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Document | 1482 | Not measured | Only Claude Sonnet 4.6 measured |
| 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 Sonnet 4.6 | GLM 4.6 | 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 4.6 costs less
Repository review
50K input + 3K output tokens
GLM 4.6 costs less
Agent loop
200K input + 10K output tokens
GLM 4.6 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 4.6 | Z.ai GLM 4.6 |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | Open weights |
| Released | February 17, 2026 | September 30, 2025 |
| Context window | 1M | 205K |
| Input $/Mtok | $3.00 | $0.55 |
| Output $/Mtok | $15.00 | $2.20 |
| Coding index | 57.8 | 52.2 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.68 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.6 better than GLM 4.6 for coding?
Pick Claude Sonnet 4.6 for coding: it scores 57.8 on the Vibe Coding Index against 52.2 for GLM 4.6. Pick GLM 4.6 when output tokens cost 6.8x less, or when what matters is AIME or MedQA (Vals AI), where it leads.
Which is cheaper, Claude Sonnet 4.6 or GLM 4.6?
Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GLM 4.6 costs $0.55 and $2.20. Cost per solved task is known for Claude Sonnet 4.6 only.
Which has the bigger context window, Claude Sonnet 4.6 or GLM 4.6?
Claude Sonnet 4.6, with 1M tokens against 205K.
How many benchmarks is the Claude Sonnet 4.6 vs GLM 4.6 comparison based on?
59 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 2 independent benchmarks and GLM 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.