GLM 4.7 Flash vs GPT-5 Mini
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 GLM 4.7 Flash and GPT-5 Mini.
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
GPT-5 Mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
Technical Specifications
| Specification | GLM 4.7 Flash | GPT-5 Mini |
|---|---|---|
| Provider | Zhipu AI | OpenAI |
| Context Window | 202,752 tokens | 400,000 tokens |
| Agent Suitability | N/A | 85/100 |
| Time to First Token (TTFT) | N/A | 180 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-19 | 2025-08-07 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.7 Flash
$0.06
GPT-5 Mini
$0.25
Output Price per Million Tokens
GLM 4.7 Flash
$0.40
GPT-5 Mini
$2.00
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.
GLM 4.7 Flash Quirks & Gotchas
No developer gotchas reported.
GPT-5 Mini Quirks & Gotchas
- ▸Excellent for high-frequency classification and routing tasks
- ▸Tool calling reliability drops on complex multi-step chains — use GPT-5 for agentic workflows