Model comparison
Claude Opus 4.1 vs GLM-5.3
GLM-5.3 is the stronger model overall, scoring 54.8 to 41.0 on the Noometry Index.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. Claude Opus 4.1 scores higher in 0 categories and GLM-5.3 in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.3 to 22.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 12.6% for Claude Opus 4.1 and 68.8% for GLM-5.3.
- GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- GLM-5.3 accepts more context: 1M tokens versus 200K.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.1 | GLM-5.3 | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 41.0 | 54.8 |
| Released | 2025-08-05 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 200K | 1M |
| Max output | 32K | 131K |
| Input $ / M tokens | $15 | $1.40 |
| Output $ / M tokens | $75 | $4.40 |
| Results tracked | 48 | 42 |
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Category by category
Coding GLM-5.3 leads
Claude Opus 4.1: 44.4 (#73), GLM-5.3: 59.5 (#14)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| LMArena WebDev | 1390 | 1622 |
| WeirdML | 45.9% | 75.4% |
| LMArena Coding | 1479 | 1496 |
| ALE-Bench | 674.77 | 1,317 |
| SWE-bench Verified | 73.3% | — |
| DeepSWE | — | 69% |
| FrontierCode | — | 40.1% |
| CursorBench | — | 42.6% |
| FrontierSWE | — | 30.2% |
| SciCode | — | 59% |
| AlgoTune | 1.34 | — |
Agentic & Tool Use GLM-5.3 leads
Claude Opus 4.1: 35.0 (#41), GLM-5.3: 36.4 (#38)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| Terminal-Bench | 38% | — |
| APEX-Agents | — | 56.6% |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |
| Vending-Bench 2 | — | 8,164 |
Reasoning GLM-5.3 leads
Claude Opus 4.1: 32.2 (#76), GLM-5.3: 46.1 (#46)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| Chess Puzzles | 7% | 21% |
| LMArena Hard Prompts | 1443 | 1489 |
| Mystery Game Puzzles | 21% | 33% |
| DTBench | 80% | 87.7% |
| LMCA | 37.1% | 55.5% |
| Epoch Capabilities Index | 144.12 | 155.61 |
| SimpleBench | 60% | — |
| NYT Connections (extended) | — | 74.2% |
| CritPt | — | 19.1% |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| Bench to the Future 3 | — | 0.15 |
| ForecastBench | 62 | — |
Math GLM-5.3 leads
Claude Opus 4.1: 22.3 (#277), GLM-5.3: 62.3 (#33)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 12.6% | 68.8% |
| FrontierMath Tier 4 | 2.4% | 29.3% |
| OTIS Mock AIME 2024-2025 | 68.9% | 91.1% |
| LMArena Math | 1431 | 1489 |
| ProofBench | — | 49% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge GLM-5.3 leads
Claude Opus 4.1: 42.0 (#101), GLM-5.3: 58.3 (#37)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| GPQA Diamond | 77.3% | 90.9% |
| LMArena Expert | 1439 | 1516 |
| Humanity's Last Exam | 11.5% | — |
| SimpleQA Verified | — | 41% |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |
Multimodal Not comparable
Claude Opus 4.1: 26.8 (#119), GLM-5.3: —
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| VPCT | 35% | — |
Multilingual GLM-5.3 leads
Claude Opus 4.1: 52.0 (#95), GLM-5.3: 55.7 (#28)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| LMArena Non-English | 1405 | 1457 |
| LMArena Chinese | 1427 | 1528 |
| LMArena French | 1431 | 1499 |
| LMArena German | 1413 | 1499 |
| LMArena Japanese | 1378 | 1453 |
| LMArena Korean | 1380 | 1472 |
| LMArena Russian | 1422 | 1463 |
| LMArena Spanish | 1448 | 1460 |
Instruction Following GLM-5.3 leads
Claude Opus 4.1: 75.6 (#58), GLM-5.3: 77.5 (#23)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | 1435 | 1477 |
Long Context Too close to call
Claude Opus 4.1: 44.5 (#63), GLM-5.3: 45.4 (#41)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | 1455 | 1482 |
Writing & Preference GLM-5.3 leads
Claude Opus 4.1: 62.4 (#74), GLM-5.3: 75.7 (#6)
| Benchmark | Claude Opus 4.1 | GLM-5.3 |
|---|---|---|
| LMArena Text | 1419 | 1471 |
| LMArena Creative Writing | 1412 | 1457 |
| LMArena Multi-Turn | 1444 | 1472 |
| Short-Story Creative Writing | 84.7% | — |
| EQ-Bench Creative Writing | — | 2075 |
Frequently asked questions
Is Claude Opus 4.1 better than GLM-5.3?
GLM-5.3 is the stronger model overall, scoring 54.8 to 41.0 on the Noometry Index.
Which is cheaper, Claude Opus 4.1 or GLM-5.3?
GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Claude Opus 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or GLM-5.3 better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.5 versus 44.4 in the Noometry coding category.
Which has the bigger context window?
GLM-5.3 does, with 1M tokens against 200K.
How many benchmarks do Claude Opus 4.1 and GLM-5.3 share?
29 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GLM-5.3 has 42.