GLM 4.7 Flash vs GPT-3.5 Turbo 16k
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-3.5 Turbo 16k.
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-3.5 Turbo 16k
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Technical Specifications
| Specification | GLM 4.7 Flash | GPT-3.5 Turbo 16k |
|---|---|---|
| Provider | Zhipu AI | OpenAI |
| Context Window | 202,752 tokens | 16,385 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 | 2023-08-28 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.7 Flash
$0.06
GPT-3.5 Turbo 16k
$3.00
Output Price per Million Tokens
GLM 4.7 Flash
$0.40
GPT-3.5 Turbo 16k
$4.00
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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-3.5 Turbo 16k Quirks & Gotchas
No developer gotchas reported.