nace-ai/drex-max pricing
Drex Max is the flagship 27B multimodal decision model from Nace.AI. Given a state (text, JSON or images) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation. nace-ai/drex-max from DeepInfra costs $0.120 per 1M input tokens and free per 1M output tokens. Cached input is $0.120 per 1M. Context window 262,144 tokens.
API id nace-ai/drex-max · DeepInfra · source · updated 2026-11-10 · general-purpose
$0.120
Input / 1M tokens
Free
Output / 1M tokens
$0.120
Cached input / 1M
262K
Context window
nace-ai/drex-max specifications
- Provider
- DeepInfra
- API id
nace-ai/drex-max- Model type
- general-purpose
- Context window
- 262K tokens
- Max output
- not published
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-11-10
Tags
- flagship
What nace-ai/drex-max costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0001 |
| Document summary | 50,000 | 2,000 | $0.0060 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $0.12 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does nace-ai/drex-max cost per 1M tokens?
- nace-ai/drex-max costs $0.120 per 1M input tokens and free per 1M output tokens on the standard tier. Cached input is $0.120 per 1M.
- What is nace-ai/drex-max's context window?
- nace-ai/drex-max accepts up to 262,144 tokens in a single request.
- Is there a cheaper DeepInfra model than nace-ai/drex-max?
- Yes. inclusionAI/Ling-3.0-flash-VL is $0.060 per 1M input tokens versus $0.120 for nace-ai/drex-max, with a 131,072 token context window.
- Where does this nace-ai/drex-max price come from?
- From the OpenRouter catalogue, because DeepInfra does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from DeepInfra's own — verify before committing spend.
Head-to-head comparisons
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