Calculate the cost of using muse-spark-open from Baseten for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 1,048,576 tokens
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muse-spark-open is a chat model from Baseten, one of 32 chat models they offer. It is priced at $1.25 per 1M input tokens and $4.25 per 1M output tokens, ranking 2586 out of 3778 chat models by cost and cheaper than 31% of models in this category. muse-spark-open supports vision, function calling, reasoning, audio input, prompt caching — one of only 10 chat models with this combination. Its 1,049K-token context window is in the top 14% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
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 1,048,576 tokens.
At $1.25 per 1M input tokens and $4.25 per 1M output tokens, muse-spark-open ranks 2586 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 31% of models in this category.
muse-spark-open is one of 32 Baseten chat models, one of only 10 chat models combining audio input, function calling, prompt caching, reasoning, vision. its 1,049K-token context window places it in the top 14% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs muse-spark-open |
|---|---|---|---|---|
| databricks-gemini-2-5-pro | Databricks | $1.56 | $12.50 | +25% |
| gemini-2.5-pro | Vertex AI | $1.25 | $10.00 | 0% |
| gemini-3.5-flash | Vertex AI | $1.50 | $9.00 | +20% |
Similar chat models from other providers
Yes. muse-spark-open costs $1.25 per 1M input tokens compared to databricks-gemini-2-5-pro's $1.56 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, audio input, prompt caching.
muse-spark-open input pricing is $1.25 per 1M tokens, which is 108% above the median of $0.60 for chat models. It ranks 2586 out of 3778 chat models by input cost, making it cheaper than 31% of models in this category. For output, it costs $4.25 per 1M tokens compared to the median of $1.75.
Among Baseten's 32 chat models, muse-spark-open ranks 25 by input cost. Its combination of audio input, function calling, prompt caching, reasoning, vision is shared by only 9 other chat models.
The most comparable chat models to muse-spark-open are: databricks-gemini-2-5-pro from Databricks ($1.56/1M 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-2.5-pro from Google Gemini ($1.25/1M 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.
muse-spark-open supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 339 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
muse-spark-open 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.