Model comparison
Claude Opus 4.5 vs GLM-5V-Turbo
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 5.3× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Claude Opus 4.5 scores higher in 7 categories and GLM-5V-Turbo in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.5 leads 56.5 to 40.6.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
Side by side
| Claude Opus 4.5 | GLM-5V-Turbo | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 50.5 | 43.8 |
| Released | 2025-11-01 | 2026-04-01 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 200K |
| Max output | 64K | 131K |
| Input $ / M tokens | $5 | $1.20 |
| Output $ / M tokens | $25 | $4 |
| Results tracked | 69 | 19 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 54.8 (#27), GLM-5V-Turbo: 42.1 (#111)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena WebDev | 1494 | 1401 |
| LMArena Coding | 1504 | 1466 |
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.5: 47.3 (#12), GLM-5V-Turbo: —
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| Terminal-Bench | 63.1% | — |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.6 (#51), GLM-5V-Turbo: 29.7 (#89)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Hard Prompts | 1476 | 1443 |
| ARC-AGI-2 | 37.6% | — |
| SimpleBench | 62% | — |
| Kagi LLM Benchmark | 80.2% | — |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 22% | — |
| DTBench | 89.9% | — |
| LMCA | 44.5% | — |
| Epoch Capabilities Index | 150.09 | — |
| ForecastBench | 60.7 | — |
Math Too close to call
Claude Opus 4.5: 38.6 (#132), GLM-5V-Turbo: 39.4 (#106)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Math | 1463 | 1441 |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 86.1% | — |
| ProofBench | 36% | — |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.5 (#44), GLM-5V-Turbo: 40.6 (#117)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Expert | 1487 | 1452 |
| GPQA Diamond | 86% | — |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| Vectara Hallucination Rate | 10.9% | — |
Multimodal GLM-5V-Turbo leads
Claude Opus 4.5: 31.4 (#107), GLM-5V-Turbo: 40.9 (#42)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Document | 1462 | 1416 |
| LMArena Vision | — | 1264 |
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.3 (#47), GLM-5V-Turbo: 53.0 (#73)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Non-English | 1438 | 1420 |
| LMArena Chinese | 1470 | 1488 |
| LMArena French | 1471 | 1444 |
| LMArena German | 1449 | 1423 |
| LMArena Korean | 1424 | 1396 |
| LMArena Russian | 1447 | 1431 |
| LMArena Spanish | 1458 | 1450 |
| LMArena Japanese | 1416 | — |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.5 (#19), GLM-5V-Turbo: 75.0 (#80)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Instruction Following | 1478 | 1423 |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.5 (#22), GLM-5V-Turbo: 44.0 (#80)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Longer Query | 1480 | 1438 |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.1 (#28), GLM-5V-Turbo: 62.5 (#73)
| Benchmark | Claude Opus 4.5 | GLM-5V-Turbo |
|---|---|---|
| LMArena Text | 1451 | 1437 |
| LMArena Creative Writing | 1445 | 1416 |
| LMArena Multi-Turn | 1466 | 1432 |
| EQ-Bench Creative Writing | 1687 | — |
Frequently asked questions
Is Claude Opus 4.5 better than GLM-5V-Turbo?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 5.3× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.5 or GLM-5V-Turbo?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Claude Opus 4.5 lists at $5 and $25.
Is Claude Opus 4.5 or GLM-5V-Turbo better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
Both accept 200K tokens.
How many benchmarks do Claude Opus 4.5 and GLM-5V-Turbo share?
18 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and GLM-5V-Turbo has 19.