Claude Opus 5 vs GLM 5.3
Updated October 21, 2026. 97 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 Opus 5 for coding: it scores 81.8 on the Vibe Coding Index against 73.1 for GLM 5.3.
Pick GLM 5.3 when output tokens cost 17.9x less, or when a solved task costs $0.36 against $1.33.
- Shared results
- 97
- Claude Opus 5 only
- 33
- GLM 5.3 only
- 3
- 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 Opus 5
Claude Opus 5 scores 81.8 against 73.1.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Opus 5
Claude Opus 5 leads, 50.8 against 44.8.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 5
Claude Opus 5 leads, 56.5 against 53.1.
Same board, both measured
Reasoning
GPQA Diamond
Claude Opus 5
Claude Opus 5 leads, 93.4% against 88.1%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 5
Claude Opus 5 leads, 91.6% against 86.8%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 5
Claude Opus 5 leads, 1309 against 1295.
Same board, both measured
General
Vals Index
No call
Only GLM 5.3 has a Vals Index result, 59.7%.
Directional only
Long documents
Listed context window
GLM 5.3
GLM 5.3 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3
Claude Opus 5 $0.018, GLM 5.3 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 5.3
Claude Opus 5 $1.33, GLM 5.3 $0.36.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 5 81.8 from 2 benchmarks, GLM 5.3 73.1 from 2 benchmarks.
- Widest category
- Math, 22.1 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench browser: Claude Opus 5 84.0% against GLM 5.3 0.0%, 84.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 5 $25.00 against GLM 5.3 $1.40 per million output tokens, 17.9x apart.
- Context window
- Claude Opus 5 takes 1M tokens, GLM 5.3 1.05M.
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 5 | Bars | GLM 5.3 | Ties |
|---|---|---|---|---|
| Coding | 21 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 14 | 0 | ||
| Reasoning | 11 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 9 | 0 | ||
| Web design | 9 | 0 | ||
| General | 23 | 0 | ||
| All shared boards | 95 | 2 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index212
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| LiveBench coding | 90.8% | 82.8% | Claude Opus 5 |
| LMArena WebDev | 1689 | 1621 | Claude Opus 5 |
| AA Coding Index | 78.0 | 74.8 | Claude Opus 5 |
| LiveCodeBench (Vals AI) | 89.0% | 80.5% | Claude Opus 5 |
| SWE-bench Verified (Vals AI) | 97.0% | 95.4% | Claude Opus 5 |
| Terminal-Bench 4 (Vals AI) | 53.5% | 38.9% | Claude Opus 5 |
| Vibe Code Bench (Vals AI) | 88.4% | 78.1% | Claude Opus 5 |
| Code migration (Vals AI) | 57.5% | 44.2% | Claude Opus 5 |
| ProgramBench (Vals AI) | 3.0% | 1.5% | Claude Opus 5 |
| IOI (Vals AI) | 84.3% | 68.4% | Claude Opus 5 |
| Terminal-Bench 2.1 (Vals AI) | 84.6% | 71.5% | Claude Opus 5 |
| Vibe Code Bench 1-100 (Vals AI) | 28.5% | 20.0% | Claude Opus 5 |
| SkillsBench (Vals AI) | 60.4% | 47.5% | Claude Opus 5 |
| CyberBench (Vals AI) | 65.4% | 72.1% | GLM 5.3 |
| SciCode | 56.4% | 59.0% | GLM 5.3 |
| FrontierCode | 53.4% | 40.1% | Claude Opus 5 |
| FrontierSWE | 52.0% | 30.2% | Claude Opus 5 |
| WeirdML | 91.8% | 75.4% | Claude Opus 5 |
| ALE-Bench | 2164.6 | 1317.4 | Claude Opus 5 |
| LMArena Text: coding | 1533 | 1497 | Claude Opus 5 |
| LMArena Text: software and IT | 1527 | 1493 | Claude Opus 5 |
| LMArena WebDev: React | 1711 | 1641 | Claude Opus 5 |
| LMArena WebDev: HTML | 1680 | 1595 | Claude Opus 5 |
| LMArena WebDev: from an image | 1662 | Not measured | Only Claude Opus 5 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 50.8 | 44.8 | Claude Opus 5 |
| Epoch Capabilities Index | 163.9 | 156.0 | Claude Opus 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index140
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| AA Agentic Index | 56.5 | 53.1 | Claude Opus 5 |
| Design Arena: agents building web apps | 1266 | Not measured | Only Claude Opus 5 measured |
| Design Arena: agents building full-stack apps | 1306 | Not measured | Only Claude Opus 5 measured |
| Design Arena: agents building mobile apps | 1348 | 1194 | Claude Opus 5 |
| Design Arena: agents building Android apps | 1258 | Not measured | Only Claude Opus 5 measured |
| Design Arena: agents building Godot games | 1279 | Not measured | Only Claude Opus 5 measured |
| Design Arena: agents building games | 1261 | Not measured | Only Claude Opus 5 measured |
| Design Arena: HTML slides | Not measured | 1189 | Only GLM 5.3 measured |
| Design Arena: PowerPoint slides | 1265 | 1255 | Claude Opus 5 |
| LiveBench research | 88.9% | 73.2% | Claude Opus 5 |
| LiveBench browser | 84.0% | 0.0% | Claude Opus 5 |
| LiveBench long agentic | 62.1% | 35.9% | Claude Opus 5 |
| SREBench (Vals AI) | 12.2% | 9.2% | Claude Opus 5 |
| Finance Agent (Vals AI) | 58.6% | 55.8% | Claude Opus 5 |
| Tax Agent Bench (Vals AI) | 45.5% | 39.7% | Claude Opus 5 |
| Legal Research Bench (Vals AI) | 55.3% | 49.0% | Claude Opus 5 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 14.6% | Only GLM 5.3 measured |
| Excel Modeling Benchmark (Vals AI) | 73.6% | 56.3% | Claude Opus 5 |
| BioMysteryBench (Vals AI) | 79.3% | Not measured | Only Claude Opus 5 measured |
| Terminal-Bench-Science (Vals AI) | 27.1% | 5.7% | Claude Opus 5 |
| Vals Science Index | 47.9% | Not measured | Only Claude Opus 5 measured |
| Time Horizon Index (Vals AI) | 18.8% | Not measured | Only Claude Opus 5 measured |
| CUA-bench (Vals AI) | 9.0% | Not measured | Only Claude Opus 5 measured |
| APEX-Agents | 65.8% | 56.6% | Claude Opus 5 |
| OSWorld 2.0 | 31.4% | Not measured | Only Claude Opus 5 measured |
| BALROG | 63.4% | Not measured | Only Claude Opus 5 measured |
| PostTrainBench | 35.0% | Not measured | Only Claude Opus 5 measured |
| Vending-Bench 2 | $11,182 | $8,164 | Claude Opus 5 |
| LMArena Search | 1242 | Not measured | Only Claude Opus 5 measured |
| Neither model has a result on the other 10 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.4% | 88.1% | Claude Opus 5 |
| LiveBench reasoning | 91.2% | 85.8% | Claude Opus 5 |
| MysteryMechanism (Vals AI) | 37.4% | 23.0% | Claude Opus 5 |
| MMMU Pro (Vals AI) | 89.9% | Not measured | Only Claude Opus 5 measured |
| GPQA Diamond (Artificial Analysis run) | 93.7% | 91.7% | Claude Opus 5 |
| Humanity's Last Exam (Artificial Analysis run) | 54.9% | 42.3% | Claude Opus 5 |
| GPQA Diamond (Epoch AI run) | 93.9% | 90.9% | Claude Opus 5 |
| ARC-AGI | 97.5% | Not measured | Only Claude Opus 5 measured |
| ARC-AGI-2 | 90.4% | Not measured | Only Claude Opus 5 measured |
| SimpleBench | 80.6% | Not measured | Only Claude Opus 5 measured |
| Chess puzzles | 43.0% | 37.0% | Claude Opus 5 |
| Mystery game puzzles | 59.0% | 33.0% | Claude Opus 5 |
| EBR-bench | 45.7% | Not measured | Only Claude Opus 5 measured |
| LMArena Text: hard prompts | 1527 | 1490 | Claude Opus 5 |
| LMArena Text: expert | 1554 | 1514 | Claude Opus 5 |
| LMArena Text: hard prompts in English | 1523 | 1496 | Claude Opus 5 |
| LMArena Vision: diagrams | 1348 | Not measured | Only Claude Opus 5 measured |
| LMArena Vision: homework | 1338 | Not measured | Only Claude Opus 5 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 91.1% | Claude Opus 5 |
| FrontierMath, tiers 1 to 3 | 85.6% | 68.8% | Claude Opus 5 |
| FrontierMath, tier 4 | 73.2% | 29.3% | Claude Opus 5 |
| ProofBench | 99.0% | 49.0% | Claude Opus 5 |
| LMArena Text: math | 1533 | 1495 | Claude Opus 5 |
| LMArena Text: mathematical work | 1544 | 1497 | Claude Opus 5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| MMLU Pro | 91.6% | 86.8% | Claude Opus 5 |
| LegalBench (Vals AI) | 87.0% | 84.8% | Claude Opus 5 |
| CorpFin (Vals AI) | 73.2% | Not measured | Only Claude Opus 5 measured |
| TaxEval (Vals AI) | 75.1% | 72.4% | Claude Opus 5 |
| MortgageTax (Vals AI) | 72.1% | Not measured | Only Claude Opus 5 measured |
| MedCode (Vals AI) | 63.6% | 42.9% | Claude Opus 5 |
| SimpleQA Verified | 59.9% | 41.0% | Claude Opus 5 |
| LMArena Text: science | 1531 | 1498 | Claude Opus 5 |
| LMArena Text: medicine and healthcare | 1525 | 1481 | Claude Opus 5 |
| LMArena Text: legal and government | 1530 | 1473 | Claude Opus 5 |
| LMArena Text: business and finance | 1501 | 1459 | Claude Opus 5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1309 | 1295 | Claude Opus 5 |
| Design Arena: UI components | 1348 | 1314 | Claude Opus 5 |
| Design Arena: game dev | 1339 | 1311 | Claude Opus 5 |
| Design Arena: data viz | 1329 | 1260 | Claude Opus 5 |
| Design Arena: 3D | 1335 | 1332 | Claude Opus 5 |
| Design Arena: all code categories | 1324 | 1304 | Claude Opus 5 |
| Design Arena: SVG | 1310 | 1292 | Claude Opus 5 |
| Design Arena: ASCII art | 1352 | 1213 | Claude Opus 5 |
| LiveBench design | 83.0% | 77.3% | Claude Opus 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
| Benchmark | Claude Opus 5 | GLM 5.3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 59.7% | Only GLM 5.3 measured |
| LiveBench data analysis | 74.6% | 70.2% | Claude Opus 5 |
| Public Benefits Bench (Vals AI) | 76.9% | 68.5% | Claude Opus 5 |
| SAGE (Vals AI) | 49.4% | Not measured | Only Claude Opus 5 measured |
| MedScribe (Vals AI) | 91.0% | 88.8% | Claude Opus 5 |
| Vals Multimodal Index | 73.9% | Not measured | Only Claude Opus 5 measured |
| Long context reasoning (AA-LCR) | 82.0% | 79.7% | Claude Opus 5 |
| DTBench | 97.9% | 87.7% | Claude Opus 5 |
| LMCA | 64.5% | 55.5% | Claude Opus 5 |
| Furniture assembly | 60.8% | Not measured | Only Claude Opus 5 measured |
| LMArena Text | 1509 | 1474 | Claude Opus 5 |
| LMArena Text: instruction following | 1518 | 1479 | Claude Opus 5 |
| LMArena Text: creative writing | 1493 | 1458 | Claude Opus 5 |
| LMArena Vision | 1320 | Not measured | Only Claude Opus 5 measured |
| LMArena Text: English | 1508 | 1482 | Claude Opus 5 |
| LMArena Text: non-English | 1502 | 1459 | Claude Opus 5 |
| LMArena Text: Chinese | 1573 | 1532 | Claude Opus 5 |
| LMArena Text: German | 1527 | 1488 | Claude Opus 5 |
| LMArena Text: Japanese | 1520 | 1460 | Claude Opus 5 |
| LMArena Text: Korean | 1517 | 1460 | Claude Opus 5 |
| LMArena Text: French | 1519 | 1503 | Claude Opus 5 |
| LMArena Text: Spanish | 1523 | 1462 | Claude Opus 5 |
| LMArena Text: Russian | 1507 | 1469 | Claude Opus 5 |
| LMArena Text: Polish | 1522 | 1466 | Claude Opus 5 |
| LMArena Text: multi-turn | 1500 | 1472 | Claude Opus 5 |
| LMArena Text: longer queries | 1517 | 1483 | Claude Opus 5 |
| LMArena Text: writing and language | 1499 | 1469 | Claude Opus 5 |
| LMArena Text: entertainment and media | 1481 | 1447 | Claude Opus 5 |
| LMArena Vision: English | 1315 | Not measured | Only Claude Opus 5 measured |
| LMArena Vision: Chinese | 1400 | Not measured | Only Claude Opus 5 measured |
| LMArena Vision: reading text | 1329 | Not measured | Only Claude Opus 5 measured |
| LMArena Vision: humor | 1293 | Not measured | Only Claude Opus 5 measured |
| LMArena Vision: creative writing | 1313 | Not measured | Only Claude Opus 5 measured |
| LMArena Document | 1516 | Not measured | Only Claude Opus 5 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 Opus 5 | GLM 5.3 | 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 5.3 costs less
Repository review
50K input + 3K output tokens
GLM 5.3 costs less
Agent loop
200K input + 10K output tokens
GLM 5.3 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 5 | Z.ai GLM 5.3 |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | Open weights |
| Released | July 24, 2026 | August 18, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $5.00 | $0.079 |
| Output $/Mtok | $25.00 | $1.40 |
| Coding index | 81.8 | 73.1 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.33 | $0.36 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 5 better than GLM 5.3 for coding?
Pick Claude Opus 5 for coding: it scores 81.8 on the Vibe Coding Index against 73.1 for GLM 5.3. Pick GLM 5.3 when output tokens cost 17.9x less, or when a solved task costs $0.36 against $1.33.
Which is cheaper, Claude Opus 5 or GLM 5.3?
Claude Opus 5 costs $5.00 per million input tokens and $25.00 per million output tokens; GLM 5.3 costs $0.079 and $1.40. Per solved SWE-bench Verified task, Claude Opus 5 costs $1.33 and GLM 5.3 $0.36.
Which has the bigger context window, Claude Opus 5 or GLM 5.3?
GLM 5.3, with 1.05M tokens against 1M.
How many benchmarks is the Claude Opus 5 vs GLM 5.3 comparison based on?
97 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5's coding index rests on 2 independent benchmarks and GLM 5.3's on 2. Where only one model has a result, the page says so instead of naming a winner.