Last refreshed 2026-06-30. Next refresh: weekly.
Why use GLM-5 on NVIDIA NIM?
NVIDIA NIM offers GLM-5 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare GLM-5 across 7 providers to find the best fit for your use caseInput / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: z-ai/glm5Model ID
z-ai/glm5Request example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
z-ai/glm5.Gotchas
- Use provider model ID "z-ai/glm5", not the LLMReference slug "glm-5".
Compare GLM-5 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $1.00 | $3.20 |
| OpenRouter | $0.60 | $2.08 |
| Together AI | $1.00 | $3.20 |
| GCP Vertex AI | $1.00 | $3.20 |
| NVIDIA NIM | — | — |
Capabilities
ReasoningJSON / Tool useStructured OutputsPrompt Caching
About GLM-5
Flagship open-weight foundation model from Zhipu AI with 744B parameters (40B active per token) in Mixture of Experts architecture. Trained on 28.5T tokens using DeepSeek Sparse Attention on Huawei Ascend hardware. Achieves state-of-the-art performance on coding and agentic benchmarks (SWE-bench Verified: 77.8%). Supports autonomous planning, multi-step tool use, and self-correction.
Model Specs
Released2026-02-11
Parameters744B total, 40B active
Context200k
ArchitectureMixture of Experts
Knowledge cutoff2025-11