제공자 · 2026-08-09
watsonx
| 모델 | 입력 / 1M | 출력 / 1M | 컨텍스트 | 제공자 | 태그 |
|---|---|---|---|---|---|
| Granite-4.0-H-Small | $0.064 | $0.265 | 131K | 1 | tools · json · open-weights |
| Mistral Small 3.1 24B파생 | $0.106 | $0.318 | 131K | 1 | tools · json · vision · open-weights |
Frequently asked questions
How many AI models does watsonx offer?
We track 1 canonical watsonx models plus 1 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily.
Which watsonx model is the cheapest?
Granite-4.0-H-Small is currently the lowest-priced watsonx model, at $0.064 per 1M input tokens and $0.265 per 1M output tokens. For the full apples-to-apples list, see /pricing/cheapest-llm-api.
Which watsonx model has the largest context window?
Granite-4.0-H-Small leads at 131K tokens. This is the total of prompt + completion.
Which watsonx models support tool calling?
Multiple watsonx models support tool calling, with Granite-4.0-H-Small being a popular pick. The capability column in the table above marks every model with watsonx tool-calling support.
What are the best alternatives to watsonx?
Depends on the use case. For raw cost savings, look at /pricing/cheapest-llm-api. For agent-oriented workloads, /best/best-ai-model-for-agents. For long-document workflows, /best/best-long-context-llm.
How fresh is this watsonx pricing data?
Daily. Our pipeline syncs every morning and rebuilds these pages on data change, so list-price moves and new model releases land within roughly 24 hours.
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마지막 업데이트:
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.