Try Bifrost Enterprise free for 14 days.
Request access

muse-spark-1.1 Cost Calculator - Meta

Calculate the cost of using muse-spark-1.1 from Meta for your AI applications

Pricing data last updated:

muse-spark-1.1 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 131,072 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
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Function Calling
Vision
Reasoning
Web Search

Limits

Max Input Tokens1,048,576
Max Output Tokens131,072
Max Tokens131,072

About muse-spark-1.1

muse-spark-1.1 is a chat model from Meta. It is priced at $1.25 per 1M input tokens and $4.25 per 1M output tokens, ranking 1901 out of 2661 chat models by cost and cheaper than 27% of models in this category. muse-spark-1.1 supports vision, function calling, reasoning, web search, prompt caching, structured output. Its 1,049K-token context window is in the top 7% 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 Tokens131,072
Maximum Total Tokens131,072

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 131,072 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Web Search - Access real-time web information
Prompt Caching - Optimize repeated prompts
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting

How muse-spark-1.1 Pricing Compares

At $1.25 per 1M input tokens and $4.25 per 1M output tokens, muse-spark-1.1 ranks 1901 out of 2661 chat models by input cost. It is more expensive compared to the median of $0.50 for chat models, and is cheaper than 27% of models in this category.

muse-spark-1.1 is a chat model from Meta, with support for vision, function calling, reasoning, web search, prompt caching, structured output. its 1,049K-token context window places it in the top 7% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs muse-spark-1.1
gpt-5.6-lunaAzure$1.10$6.60-12%
gemini-2.5-proVertex AI$1.25$10.000%
gemini-3.5-flashVertex AI$1.50$9.00+20%

Alternatives to muse-spark-1.1

Similar chat models from other providers

Azure
gpt-5.6-luna
$1.10/1M input
-12% vs muse-spark-1.1
Vertex AI
gemini-2.5-pro
$1.25/1M input
0% vs muse-spark-1.1
Vertex AI
gemini-3.5-flash
$1.50/1M input
+20% vs muse-spark-1.1
Vertex AI
gemini-3.6-flash
$1.50/1M input
+20% vs muse-spark-1.1
Google Gemini
gemini-flash-latest
$1.50/1M input
+20% vs muse-spark-1.1

Frequently Asked Questions

Is muse-spark-1.1 cheaper than gpt-5.6-luna?

No. muse-spark-1.1 costs $1.25 per 1M input tokens while gpt-5.6-luna costs $1.10 per 1M input tokens, making gpt-5.6-luna 12% more affordable for input. However, muse-spark-1.1 may offer different capabilities or performance characteristics that justify the price difference.

How does muse-spark-1.1 pricing compare to the average chat model?

muse-spark-1.1 input pricing is $1.25 per 1M tokens, which is 150% above the median of $0.50 for chat models. It ranks 1901 out of 2661 chat models by input cost, making it cheaper than 27% of models in this category. For output, it costs $4.25 per 1M tokens compared to the median of $1.44.

What are the best alternatives to muse-spark-1.1?

The most comparable chat models to muse-spark-1.1 are: gpt-5.6-luna from Azure ($1.10/1M input tokens); 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-3.6-flash from Vertex AI ($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-1.1's context window?

muse-spark-1.1 supports up to 1,048,576 input tokens, placing it in the top 7% of chat models by context window size (rank 126 of 2482). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate muse-spark-1.1 costs?

muse-spark-1.1 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 $1.25 and generating 1M output tokens costs $4.25.