Text model
deepseek-v4-flash pricing
Azure AI Foundry charges $0.19 per million input tokens and $0.51 per million output tokens for deepseek-v4-flash, and $0.028 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.19/ 1M
- Output
- $0.51/ 1M
- Cached input
- $0.028/ 1M
- Context
- 1Mtokens
Retires 2028-02-20. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.19 | $0.51 | $0.028 | — |
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 | $0.000489 | 100,000 | $48.90 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.000747 | 100,000 | $74.70 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00139 | 250,000 | $348.00 |
| 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 deepseek-v4-flash, 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/gpt-6-luna | $0.00035 | 28% |
| azure-ai/FW-DeepSeek-V4-Flash | $0.000349 | 29% |
| qwen/qwen3.8-flash | $0.000413 | 16% |
| qwen/qwen3.8-omni-flash | $0.000413 | 16% |
Price history
No price changes since Veqen started tracking this model.
Compare
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.