廠商 · 2026-05-12
abliteration-ai
| 模型 | 輸入 / 1M | 輸出 / 1M | 上下文 | 服務商 | 標籤 |
|---|---|---|---|---|---|
| Abliterated Model | $3.00 | $3.00 | 150K | 1 | tools · vision · open-weights |
Frequently asked questions
How many AI models does abliteration-ai offer?
We track 1 canonical abliteration-ai models. The list is recomputed daily from models.dev.
Which abliteration-ai model is the cheapest?
Abliterated Model is currently the lowest-priced abliteration-ai model, at $3.00 per 1M input tokens and $3.00 per 1M output tokens. For the full apples-to-apples list, see /pricing/cheapest-llm-api.
Which abliteration-ai model has the largest context window?
Abliterated Model leads at 150K tokens. This is the total of prompt + completion.
Which abliteration-ai models support tool calling?
Multiple abliteration-ai models support tool calling, with Abliterated Model being a popular pick. The capability column in the table above marks every model with abliteration-ai tool-calling support.
Which abliteration-ai models accept image input?
Abliterated Model accepts image input. Other vision-capable abliteration-ai models are tagged 'vision' in the table above. See /capabilities/vision for a cross-vendor comparison.
What are the best alternatives to abliteration-ai?
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 abliteration-ai pricing data?
Daily. Our pipeline pulls models.dev each morning and rebuilds these pages on data change, so list-price moves and new model releases land within roughly 24 hours.
Explore more
Top abliteration-ai models
- Abliterated Model$3.00 in / $3.00 out
Browse by use case
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最近更新：
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.