Model comparison
Claude 3.5 Sonnet vs GLM-5
GLM-5 is the stronger model overall, scoring 46.1 to 34.6 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 1 category and GLM-5 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5 leads 46.4 to 19.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.5% for Claude 3.5 Sonnet and 80% for GLM-5.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | GLM-5 | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 34.6 | 46.1 |
| Released | 2024-06-20 | 2026-02-11 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 60 | 45 |
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Category by category
Coding GLM-5 leads
Claude 3.5 Sonnet: 39.0 (#165), GLM-5: 49.0 (#52)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| WeirdML | 40% | 48.2% |
| LMArena Coding | 1342 | 1461 |
| SWE-bench Verified | — | 72.1% |
| SWE-bench Verified (bash only) | — | 72.8% |
| Aider Polyglot | 51.6% | — |
| LMArena WebDev | — | 1434 |
| SWE-bench Multilingual | — | 69.7% |
| GSO | 4.6% | — |
| BigCodeBench Instruct | 46.8% | — |
| LiveBench Coding | 67.1% | — |
| BigCodeBench Complete | 58.6% | — |
| CadEval | 48% | — |
| ALE-Bench | — | 765.62 |
| HumanEval+ | 81.7% | — |
| MBPP+ | 74.3% | — |
Agentic & Tool Use Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 32.3 (#67), GLM-5: 31.1 (#71)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| Terminal-Bench | — | 52.4% |
| TheAgentCompany | 24% | — |
| τ²-bench Airline | — | 82.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 73.7% |
| τ²-bench Telecom | — | 86.8% |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
| Vending-Bench 2 | — | 4,432 |
Reasoning GLM-5 leads
Claude 3.5 Sonnet: 23.1 (#183), GLM-5: 27.6 (#116)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| SimpleBench | 41.4% | 53.2% |
| LMArena Hard Prompts | 1305 | 1452 |
| Epoch Capabilities Index | 133.55 | 145.83 |
| ForecastBench | 60.7 | 61 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 75% |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | — | 44.7% |
| Chess Puzzles | — | 10% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| DTBench | 67.8% | — |
| LiveBench Data Analysis | 55% | — |
| LiveBench | 59% | — |
Math GLM-5 leads
Claude 3.5 Sonnet: 19.2 (#288), GLM-5: 46.4 (#71)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 80% |
| LMArena Math | 1307 | 1440 |
| FrontierMath (Feb 2025 set) | 2.1% | 16.4% |
| FrontierMath Tier 4 (v1) | 0% | 2.1% |
| MathArena Final-Answer Competitions | — | 65.7% |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| MATH Level 5 | 56.9% | — |
Knowledge GLM-5 leads
Claude 3.5 Sonnet: 28.6 (#245), GLM-5: 52.3 (#64)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| GPQA Diamond | 55.3% | 87.8% |
| LMArena Expert | 1265 | 1454 |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| Vectara Hallucination Rate | — | 10.1% |
| GPQA (HELM) | 56.5% | — |
| MMLU | 87.3% | — |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.5 (#120), GLM-5: —
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual GLM-5 leads
Claude 3.5 Sonnet: 43.2 (#185), GLM-5: 53.7 (#58)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| LMArena Non-English | 1283 | 1430 |
| LMArena Chinese | 1272 | 1511 |
| LMArena French | 1305 | 1455 |
| LMArena German | 1297 | 1445 |
| LMArena Japanese | 1234 | 1416 |
| LMArena Korean | 1200 | 1423 |
| LMArena Russian | 1306 | 1436 |
| LMArena Spanish | 1290 | 1454 |
Instruction Following GLM-5 leads
Claude 3.5 Sonnet: 68.8 (#182), GLM-5: 75.2 (#67)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1428 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context GLM-5 leads
Claude 3.5 Sonnet: 39.9 (#167), GLM-5: 44.7 (#60)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| LMArena Longer Query | 1311 | 1446 |
| CL-bench | — | 18.7% |
Writing & Preference GLM-5 leads
Claude 3.5 Sonnet: 52.9 (#164), GLM-5: 66.0 (#38)
| Benchmark | Claude 3.5 Sonnet | GLM-5 |
|---|---|---|
| LMArena Text | 1298 | 1446 |
| LMArena Creative Writing | 1292 | 1439 |
| EQ-Bench Creative Writing | 1451 | 1601 |
| LMArena Multi-Turn | 1326 | 1456 |
| Short-Story Creative Writing | 80.3% | — |
| WildBench | 79.2% | — |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than GLM-5?
GLM-5 is the stronger model overall, scoring 46.1 to 34.6 on the Noometry Index.
Is Claude 3.5 Sonnet or GLM-5 better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 39.0 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and GLM-5 share?
26 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and GLM-5 has 45.