AI model matchup
GLM-5 vs Claude Opus 4.5
A side-by-side look at published capability scores, listed API pricing, speed, context, and license - to help you decide which trade-offs fit your work.
GLM-5vsClaude Opus 4.5
Claude Opus 4.5 leads the RankLLMs Index by 1.1 points (38.5 vs 37.4). Verified API Pricing: Free/Open Source (GLM-5) vs $5.00 (Claude Opus 4.5) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | GLM-5 | Claude Opus 4.5 |
|---|---|---|
| RankLLMs Overall Score | 37.4 pts | 38.5 pts ▲ |
| Reasoning | 37.6 | 40.5 ▲ |
| Coding | 27.1 | 29.5 ▲ |
| Agentic Tool Use | 20.6 ▲ | 19.3 |
| Code Arena Elo | 1586 | 1614 ▲ |
| Inference Speed | 50 tps | 50 tps |
| API Price (per 1M tokens) | Free/Open Source | $5.00 |
| Context Window | 205K | 200K |
| License | Open Source | Proprietary |
| Global Rank | #69 | #67 ▲ |
Decision notes
What the numbers suggest
Claude Opus 4.5 leads the RankLLMs overall score by 1.1 points. GLM-5 has the lower listed API rate (Free/Open Source per 1M tokens).
Treat the overall index as a starting point, then prioritize the benchmark that resembles your task. Published scores and provider pricing can change; this comparison does not represent a first-party test of either model.
- Overall index
- Claude Opus 4.5 leads
- 37.4 to 38.5 pts
- Coding score
- Claude Opus 4.5 leads
- 27.1 to 29.5 pts
- Reasoning score
- Claude Opus 4.5 leads
- 37.6 to 40.5 pts
- Agentic score
- GLM-5 leads
- 20.6 to 19.3 pts
Choose by workload
Which profile fits your use?
Zhipu AI
Consider GLM-5 when
your workload gives more weight to the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View GLM-5 profileAnthropic
Consider Claude Opus 4.5 when
your workload gives more weight to the higher listed coding score, the higher listed reasoning score, the higher overall index score. Compare those signals with your own task mix, latency needs, and budget.
View Claude Opus 4.5 profile