Text model
inclusionAI/Ling-3.0-flash pricing
DeepInfra charges $0.06 per million input tokens and $0.18 per million output tokens for inclusionAI/Ling-3.0-flash, and $0.012 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.06/ 1M
- Output
- $0.18/ 1M
- Cached input
- $0.012/ 1M
- Context
- 131.1Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.06 | $0.18 | $0.012 | — |
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 | $0.000162 | 100,000 | $16.20 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.000258 | 100,000 | $25.80 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00048 | 250,000 | $120.00 |
| 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 inclusionAI/Ling-3.0-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 |
|---|---|---|
| deepinfra/google/gemma-3-12b-it | $0.000135 | 17% |
| deepinfra/nvidia/NVIDIA-Nemotron-Nano-9B-v2 | $0.000124 | 23% |
| novita/baichuan/baichuan-m2-32b | $0.000133 | 18% |
| together/arcee-ai/trinity-mini | $0.000128 | 21% |
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: DeepInfra pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.