Text model
sdaia/allam-1-13b-instruct pricing
IBM watsonx charges $1.80 per million input tokens and $1.80 per million output tokens for sdaia/allam-1-13b-instruct. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $1.80/ 1M
- Output
- $1.80/ 1M
- Context
- 8.2Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $1.80 | $1.80 | — | — |
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 | $0.00342 | 100,000 | $342.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.01 | 100,000 | $1,170.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.02 | 250,000 | $5,760.00 |
| 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 sdaia/allam-1-13b-instruct, 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 |
|---|---|---|
| watsonx/meta-llama/llama-3-3-70b-instruct | $0.00143 | 58% |
| watsonx/meta-llama/llama-4-maverick-17b | $0.00115 | 66% |
| azure-ai/grok-4.3 | $0.00287 | 16% |
| xai/grok-4.20 | $0.00287 | 16% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: IBM watsonx pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.