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microsoft-decision-1 Cost Calculator - OpenRouter

Calculate the cost of using microsoft-decision-1 from OpenRouter for your AI applications

Pricing data last updated:

microsoft-decision-1 Cost Calculator

Mode: Decisions

Cost Breakdown

Total Cost$0.0000000000

Pricing Details

Input: $0.0000000420 per token
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Model Specifications

Limits

Max Input Tokens32,768
Max Output Tokens29,491
Max Tokens29,491

About microsoft-decision-1

microsoft-decision-1 is a decisions model from OpenRouter, one of 25 decisions models they offer. It is priced at $0.04 per 1M input tokens and $0.0000 per 1M output tokens, ranking 20 out of 37 decisions models by cost and cheaper than 32% of models in this category. It accepts up to 33K input tokens.

Pricing Information

Input Cost$0.04 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens32,768
Maximum Output Tokens29,491
Maximum Total Tokens29,491

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,768 input tokens. The maximum output length is 29,491 tokens.

How microsoft-decision-1 Pricing Compares

At $0.04 per 1M input tokens and $0.0000 per 1M output tokens, microsoft-decision-1 ranks 20 out of 37 decisions models by input cost. It is competitively priced compared to the median of $0.04 for decisions models, and is cheaper than 32% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs microsoft-decision-1
jev-1.13.0Typesafe$0.04$0.00000%
jev-latestTypesafe$0.04$0.00000%
jev-previewTypesafe$0.04$0.00000%

Alternatives to microsoft-decision-1

Similar decisions models from other providers

Typesafe
jev-1.13.0
$0.04/1M input
0% vs microsoft-decision-1
Typesafe
jev-latest
$0.04/1M input
0% vs microsoft-decision-1
Typesafe
jev-preview
$0.04/1M input
0% vs microsoft-decision-1
Azure
Microsoft-Decision-1
$0.04/1M input
0% vs microsoft-decision-1
Cloudflare
clef-omni
$0.15/1M input
+257% vs microsoft-decision-1

Frequently Asked Questions

Is microsoft-decision-1 cheaper than jev-1.13.0?

No. microsoft-decision-1 costs $0.04 per 1M input tokens while jev-1.13.0 costs $0.04 per 1M input tokens, making jev-1.13.0 0% more affordable for input. However, microsoft-decision-1 may offer different capabilities or performance characteristics that justify the price difference.

How does microsoft-decision-1 pricing compare to the average decisions model?

microsoft-decision-1 input pricing is $0.04 per 1M tokens, which is 0% at the median of $0.04 for decisions models. It ranks 20 out of 37 decisions models by input cost, making it cheaper than 32% of models in this category.

What makes microsoft-decision-1 different from other OpenRouter models?

Among OpenRouter's 25 decisions models, microsoft-decision-1 ranks 14 by input cost.

What are the best alternatives to microsoft-decision-1?

The most comparable decisions models to microsoft-decision-1 are: jev-1.13.0 from Typesafe ($0.04/1M input tokens); jev-latest from Typesafe ($0.04/1M input tokens); jev-preview from Typesafe ($0.04/1M input tokens); Microsoft-Decision-1 from Azure ($0.04/1M 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 microsoft-decision-1 costs?

microsoft-decision-1 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 $0.04 and generating 1M output tokens costs $0.0000.