Run GLM-5.3, DeepSeek V4.1 Flash 1017, Kimi K3.1 Pro and Kimi K3 on fully hosted infrastructure, with regional deployment options. Bring your existing workflows, or build them with Stackmint.
Start with a workload and a quote. No Stackmint platform subscription required for inference-only access.
Region and model availability confirmed for your deployment.
Input, cached input and output prices in USD per million tokens.
| Model | Input | Cached input | Output |
|---|---|---|---|
| GLM-5.3 | $0.98 | $0.18 | $3.08 |
| DeepSeek V4.1 Flash 1017 | $0.30 | $0.03 | $1.20 |
| Kimi K3.1 Pro | $2.00 | $0.20 | $10.00 |
| Kimi K3 | $2.83 | $0.28 | $14.13 |
Rates checked November 10, 2026. Final pricing, cache eligibility and regional model availability are confirmed in your quote.
Compare a proposed inference configuration with your current token bill. Model quality, input/output mix and usage volume all count.
Compare time to first token, full response time and generation speed on the work your users actually run. Validate latency before switching.
Access managed inference without procuring hardware or operating a model-serving stack. Select regional hosting to fit your requirements.
Bring your application, agents or workflow engine. We help match your workload to hosted inference, pricing and a suitable region.
Build or adapt a workflow with Stackmint, with agents, business context and human review. Start with a scoped pilot on the proposed inference setup.
Tell us what you run, what you spend and where inference needs to happen. We’ll follow up with the next step toward a suitable configuration and quote.
Savings and performance vary by model, workload, volume and deployment. A quote is not a guarantee of lower costs or faster execution.
No. You can request inference for your existing application or workflow engine. A Stackmint platform subscription is not required for inference-only access.
The inference API supports OpenAI-compatible integrations. Available models, tool calling, structured outputs, context limits and other features still need to be checked against your workload. Compatibility is assessed before migration.
Regional placement applies to the agreed inference deployment. Workflow hosting, storage, logs and third-party tools have their own locations. We confirm the full data path and any failover requirements separately before production.
That depends on your current provider, chosen model, token mix, volume and commercial terms. Share your usage so we can compare a proposed configuration against your baseline. We do not publish a blanket savings percentage.