Model comparison
Claude Sonnet 5.5 vs GLM-5.3
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 54.6 on the Noometry Index. GLM-5.3 costs 1.9× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 5 categories and GLM-5.3 in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 88.7 to 62.1.
- The biggest single-benchmark swing is FrontierMath Tier 4: 80.5% for Claude Sonnet 5.5 and 29.3% for GLM-5.3.
- GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | GLM-5.3 | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 60.5 | 54.6 |
| Released | 2026-09-28 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 1M | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $2 | $1.40 |
| Output $ / M tokens | $10 | $4.40 |
| Results tracked | 16 | 41 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 65.5 (#6), GLM-5.3: 59.0 (#12)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| FrontierCode | 52.1% | 40.1% |
| LMArena WebDev | 1699 | 1623 |
| FrontierSWE | 61.9% | 30.2% |
| SciCode | 61% | 59% |
| ALE-Bench | 1,819 | 1,317 |
| DeepSWE | — | 69% |
| CursorBench | 55.5% | — |
| WeirdML | — | 75.4% |
| LMArena Coding | — | 1499 |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 44.9 (#14), GLM-5.3: 36.3 (#34)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| APEX-Agents | 75.5% | 56.6% |
| Vending-Bench 2 | — | 8,164 |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 52.4 (#29), GLM-5.3: 45.2 (#42)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| CritPt | 31.4% | 19.1% |
| Mystery Game Puzzles | 65% | 33% |
| NYT Connections (extended) | — | 74.2% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | — | 1491 |
| DTBench | — | 87.7% |
| LMCA | — | 55.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 155.56 |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 88.7 (#4), GLM-5.3: 62.1 (#27)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 88.8% | 68.8% |
| FrontierMath Tier 4 | 80.5% | 29.3% |
| OTIS Mock AIME 2024-2025 | 100% | 91.1% |
| ProofBench | 100% | 49% |
| LMArena Math | — | 1493 |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#11), GLM-5.3: 58.3 (#34)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| GPQA Diamond | 95.6% | 90.9% |
| SimpleQA Verified | 46.5% | 41% |
| LMArena Expert | — | 1512 |
Multimodal Not comparable
Claude Sonnet 5.5: 53.2 (#5), GLM-5.3: —
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| Furniture Assembly | 75% | — |
Multilingual Not comparable
Claude Sonnet 5.5: —, GLM-5.3: 55.9 (#27)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| LMArena Non-English | — | 1457 |
| LMArena Chinese | — | 1523 |
| LMArena French | — | 1499 |
| LMArena German | — | 1505 |
| LMArena Japanese | — | 1438 |
| LMArena Korean | — | 1478 |
| LMArena Russian | — | 1460 |
| LMArena Spanish | — | 1444 |
Instruction Following Not comparable
Claude Sonnet 5.5: —, GLM-5.3: 77.8 (#15)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| LMArena Instruction Following | — | 1481 |
Long Context Not comparable
Claude Sonnet 5.5: —, GLM-5.3: 45.5 (#32)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| LMArena Longer Query | — | 1485 |
Writing & Preference Not comparable
Claude Sonnet 5.5: —, GLM-5.3: 75.9 (#6)
| Benchmark | Claude Sonnet 5.5 | GLM-5.3 |
|---|---|---|
| LMArena Text | — | 1473 |
| LMArena Creative Writing | — | 1459 |
| EQ-Bench Creative Writing | — | 2075 |
| LMArena Multi-Turn | — | 1473 |
Frequently asked questions
Is Claude Sonnet 5.5 better than GLM-5.3?
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 54.6 on the Noometry Index. GLM-5.3 costs 1.9× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 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 Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or GLM-5.3 better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 65.5 versus 59.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do Claude Sonnet 5.5 and GLM-5.3 share?
14 benchmarks have published results for both models. Claude Sonnet 5.5 has 16 scored results on Noometry and GLM-5.3 has 41.