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muse-spark-1.3 Cost Calculator - OpenRouter

Calculate the cost of using muse-spark-1.3 from OpenRouter for your AI applications

Pricing data last updated:

muse-spark-1.3 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 943,718 tokens

Cost Breakdown

Input Cost$0.001250
Output Cost$0.004250
Total Cost$0.005500

Pricing Details

Input: $0.00000125 per token
Output: $0.00000425 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning
Audio Input

Limits

Max Input Tokens1,048,576
Max Output Tokens943,718
Max Tokens943,718

About muse-spark-1.3

muse-spark-1.3 is a chat model from OpenRouter, one of 441 chat models they offer. It is priced at $1.25 per 1M input tokens and $4.25 per 1M output tokens, ranking 2312 out of 3254 chat models by cost and cheaper than 28% of models in this category. muse-spark-1.3 supports vision, function calling, reasoning, audio input, prompt caching, structured output. Its 1,049K-token context window is in the top 10% among chat models.

Pricing Information

Input Cost$1.25 per 1M tokens
Output Cost$4.25 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens943,718
Maximum Total Tokens943,718

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 943,718 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Audio Input - Accept audio data as input
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How muse-spark-1.3 Pricing Compares

At $1.25 per 1M input tokens and $4.25 per 1M output tokens, muse-spark-1.3 ranks 2312 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 28% of models in this category.

muse-spark-1.3 is one of 441 OpenRouter chat models, with support for vision, function calling, reasoning, audio input, prompt caching, structured output. its 1,049K-token context window places it in the top 10% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs muse-spark-1.3
gemini-2.5-proVertex AI$1.25$10.000%
gemini-3.5-flashVertex AI$1.50$9.00+20%
gemini-2.5-proGoogle Gemini$1.25$10.000%

Alternatives to muse-spark-1.3

Similar chat models from other providers

Vertex AI
gemini-2.5-pro
$1.25/1M input
0% vs muse-spark-1.3
Vertex AI
gemini-3.5-flash
$1.50/1M input
+20% vs muse-spark-1.3
Google Gemini
gemini-2.5-pro
$1.25/1M input
0% vs muse-spark-1.3
Google Gemini
gemini-3.5-flash
$1.50/1M input
+20% vs muse-spark-1.3
Google Gemini
gemini-pro-latest
$1.25/1M input
0% vs muse-spark-1.3

Frequently Asked Questions

Is muse-spark-1.3 cheaper than gemini-2.5-pro?

No. muse-spark-1.3 costs $1.25 per 1M input tokens while gemini-2.5-pro costs $1.25 per 1M input tokens, making gemini-2.5-pro 0% more affordable for input. However, muse-spark-1.3 may offer different capabilities or performance characteristics that justify the price difference.

How does muse-spark-1.3 pricing compare to the average chat model?

muse-spark-1.3 input pricing is $1.25 per 1M tokens, which is 142% above the median of $0.52 for chat models. It ranks 2312 out of 3254 chat models by input cost, making it cheaper than 28% of models in this category. For output, it costs $4.25 per 1M tokens compared to the median of $1.50.

What makes muse-spark-1.3 different from other OpenRouter models?

Among OpenRouter's 441 chat models, muse-spark-1.3 ranks 303 by input cost.

What are the best alternatives to muse-spark-1.3?

The most comparable chat models to muse-spark-1.3 are: gemini-2.5-pro from Vertex AI ($1.25/1M input tokens); gemini-3.5-flash from Vertex AI ($1.50/1M input tokens); gemini-2.5-pro from Google Gemini ($1.25/1M input tokens); gemini-3.5-flash from Google Gemini ($1.50/1M 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 large is muse-spark-1.3's context window?

muse-spark-1.3 supports up to 1,048,576 input tokens, placing it in the top 10% of chat models by context window size (rank 216 of 3025). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

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 muse-spark-1.3 costs?

muse-spark-1.3 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 $1.25 and generating 1M output tokens costs $4.25.