GLM 4.7 Flash vs GPT-5 Nano
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 Nano.
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 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
Technical Specifications
| Specification | GLM 4.7 Flash | GPT-5 Nano |
|---|---|---|
| Provider | Zhipu AI | OpenAI |
| Context Window | 202,752 tokens | 400,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| 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 Nano
$0.05
Output Price per Million Tokens
GLM 4.7 Flash
$0.40
GPT-5 Nano
$0.40
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 Nano Quirks & Gotchas
No developer gotchas reported.