GLM 4.5 vs gpt-oss-120b
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 4.5 and gpt-oss-120b.
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...
gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
Technical Specifications
| Specification | GLM 4.5 | gpt-oss-120b |
|---|---|---|
| Provider | Zhipu AI | OpenAI |
| Context Window | 131,072 tokens | 131,072 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 | 2025-07-25 | 2025-08-05 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.5
$0.60
gpt-oss-120b
$0.03
Output Price per Million Tokens
GLM 4.5
$2.20
gpt-oss-120b
$0.15
Want to test both models live?
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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 4.5 Quirks & Gotchas
No developer gotchas reported.
gpt-oss-120b Quirks & Gotchas
No developer gotchas reported.