Claude Opus 4.7 vs GLM 4.5
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.7 and GLM 4.5.
Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
GLM 4.5
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...
Technical Specifications
| Specification | Claude Opus 4.7 | GLM 4.5 |
|---|---|---|
| Provider | Anthropic | Zhipu AI |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Agent Suitability | 96/100 | N/A |
| Time to First Token (TTFT) | 480 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-16 | 2025-07-25 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
GLM 4.5
$0.60
Output Price per Million Tokens
Claude Opus 4.7
$25.00
GLM 4.5
$2.20
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude Opus 4.7 Quirks & Gotchas
- ▸Top-tier agentic coding model — excels at autonomous software engineering
- ▸Requires explicit tool_choice parameter for parallel function calling to work reliably
GLM 4.5 Quirks & Gotchas
No developer gotchas reported.