Text model
MAI-Thinking-1 pricing
Azure AI Foundry charges $2.00 per million input tokens and $8.00 per million output tokens for MAI-Thinking-1, and $0.20 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $2.00/ 1M
- Output
- $8.00/ 1M
- Cached input
- $0.20/ 1M
- Context
- 256Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $2.00 | $8.00 | $0.20 | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.0062 | 100,000 | $620.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.0088 | 100,000 | $880.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.02 | 250,000 | $4,000.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with MAI-Thinking-1, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| azure-ai/mistral-medium-3-5 | $0.00525 | 15% |
| azure-ai/FW-GLM-5.3 | $0.00483 | 22% |
| mistral/magistral-medium-latest | $0.00525 | 15% |
| mistral/mistral-medium | $0.00525 | 15% |
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: Azure AI Foundry pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.