---
title: "d1-latest Cost Calculator - OpenRouter"
description: "Calculate the cost of using d1-latest from OpenRouter. Input costs $0.02 and output $0.0000 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/d1-latest"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/d1-latest.md"
---

# d1-latest Cost Calculator - OpenRouter

> Calculate the cost of using d1-latest from OpenRouter. Input costs $0.02 and output $0.0000 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About d1-latest

d1-latest is a decisions model from OpenRouter, one of 31 decisions models they offer. It is priced at $0.02 per 1M input tokens and $0.0000 per 1M output tokens, ranking 9 out of 53 decisions models by cost and cheaper than 74% of models in this category. d1-latest supports vision, prompt caching — one of only 7 decisions models with this combination. It accepts up to 66K input tokens.

## Pricing

Published OpenRouter pricing for d1-latest.

- **$0.02 / 1M tokens Input.**
- **$0.0000 / 1M tokens Output.**

## Technical Specifications

- **Decisions Mode.**
- **65,536 Max Input Tokens.**
- **58,982 Max Output Tokens.**
- **58,982 Max Tokens.**

## Model Capabilities

d1-latest supports: Vision, Prompt Caching.

## How Pricing Compares

At $0.02 per 1M input tokens and $0.0000 per 1M output tokens, d1-latest ranks 9 out of 53 decisions models by input cost. It is more affordable compared to the median of $0.04 for decisions models, and is cheaper than 74% of models in this category.

d1-latest is one of 31 OpenRouter decisions models, one of only 7 decisions models combining prompt caching, vision.

| Model | Provider | Input $/1M | Output $/1M | vs d1-latest |
| --- | --- | --- | --- | --- |
| pplx-decider-v1-27b | Perplexity | $0.02 | $0.0000 | 0% |
| pplx-decider-v1.1-27b | Perplexity | $0.02 | $0.0000 | 0% |
| baseten-elephant-9b-latest | Baseten | $0.04 | $0.0000 | +75% |
| baseten-joey-2b-latest | Baseten | $0.01 | $0.0000 | -50% |
| gpt-6-luna | OpenAI | $0.10 | $0.0000 | +400% |

## More from OpenRouter

- [d1.1 ($0.02/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/d1.1.md)
- [pplx-decider-v1.2 ($0.02/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/pplx-decider-v1.2.md)
- [pplx-decider-latest ($0.02/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/pplx-decider-latest.md)
- [d1 ($0.02/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/d1.md)

## Related Resources

- [OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md)
- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md)

## FAQ

### Is d1-latest cheaper than pplx-decider-v1-27b?

No. d1-latest costs $0.02 per 1M input tokens while pplx-decider-v1-27b costs $0.02 per 1M input tokens, making pplx-decider-v1-27b 0% more affordable for input. However, d1-latest may offer different capabilities or performance characteristics that justify the price difference.

### How does d1-latest pricing compare to the average decisions model?

d1-latest input pricing is $0.02 per 1M tokens, which is 52% below the median of $0.04 for decisions models. It ranks 9 out of 53 decisions models by input cost, making it cheaper than 74% of models in this category.

### What makes d1-latest different from other OpenRouter models?

Among OpenRouter's 31 decisions models, d1-latest ranks 6 by input cost. Its combination of prompt caching, vision is shared by only 6 other decisions models.

### What are the best alternatives to d1-latest?

The most comparable decisions models to d1-latest are: pplx-decider-v1-27b from Perplexity ($0.02/1M input tokens); pplx-decider-v1.1-27b from Perplexity ($0.02/1M input tokens); baseten-elephant-9b-latest from Baseten ($0.04/1M input tokens); baseten-joey-2b-latest from Baseten ($0.01/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

### How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

### How do I calculate d1-latest costs?

d1-latest is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.02 and generating 1M output tokens costs $0.0000.

## Related Resources

- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/d1-latest](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/d1-latest) for AI/LLM consumption.*
