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[ MODEL COMPARISON ]

Compare drex-max with other models

Select another model to compare pricing, limits, and capabilities with drex-max.

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Models
OpenRouter logodrex-max
openrouter
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Context Length
262K
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Max Output
236K
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Input Cost
$0.06/M
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Mode
Decisions
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Max Input Tokens
262K
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Max Tokens
236K
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Provider
OpenRouter
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Prompt Caching
Yes
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Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about drex-max?

Overview

  • drex-max is a decisions model provided by OpenRouter.
  • With a context window of 262K tokens, this model can handle substantial inputs such as detailed documents or extended conversation histories.

Pricing

  • Input processing costs $0.06 per million tokens.
  • Output generation costs $0.00 per million tokens.

Output Capabilities

  • The model can generate up to 236K tokens in a single response.
What capabilities does drex-max support?
  • Includes vision capabilities to process and analyze images alongside text inputs.
  • Implements prompt caching to reduce costs and latency for repeated or similar queries.

drex-max Pricing Overview

At $0.06 per 1M input tokens and $0.0000 per 1M output tokens, drex-max ranks 40 out of 53 decisions models by input cost. It is more expensive compared to the median of $0.04 for decisions models, and is cheaper than 23% of models in this category.