Muse Spark Open (Xhigh) API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of Muse Spark Open (Xhigh) for your use-case.
Lowest Time per Task
Makora (NVFP4)
Baseten
Together AI
Nebius (FP4)
FireworksTime per Intelligence Index task (minutes)
Total 5 providers
Lowest Cost per Task
Nebius (FP4)Makora (NVFP4)FireworksTogether AIBasetenCost per Intelligence Index task
Total 5 providers
Muse Spark Open (xhigh) is available through 5 API providers, each offering different performance characteristics and pricing. Below is a comparison of the key metrics across providers.
- For time per task, Makora (NVFP4) (3.9 min), Baseten (5.2 min), and Together AI (7.3 min) finish an Intelligence Index task fastest.
- For cost per task, Nebius (FP4) ($1.61), Makora (NVFP4) ($1.68), and Fireworks ($2.02) are the cheapest per Intelligence Index task.
Endpoint Accuracy
Endpoint Accuracy Index: Muse Spark Open (Xhigh)
Pricing
Cost per Intelligence Index Task: Muse Spark Open (Xhigh)
Pricing: Cache Hit, Input, and Output: Muse Spark Open (Xhigh)
Output Speed vs. Cost per Task: Muse Spark Open (Xhigh)
Speed
Average of the single-request and multi-turn agentic workloads measured
Time per Intelligence Index Task: Muse Spark Open (Xhigh)
Latency
Average of the single-request and multi-turn agentic workloads measured
Time to First Answer Token: Muse Spark Open (Xhigh)
Reliability
Share of requests the endpoint failed, across all the single-request and multi-turn agentic workloads measured
Endpoint Error Rate: Muse Spark Open (Xhigh)
Caching
Cache Hit Rate: Muse Spark Open (Xhigh)
Cost per Task vs. Cache Hit Rate: Muse Spark Open (Xhigh)
Key Comparison Metrics & API Features
Frequently Asked Questions
Common questions about Muse Spark Open (Xhigh) providers
Muse Spark Open (Xhigh) is available through 5 API providers: Fireworks, Baseten, Nebius (FP4), Together AI, and Makora (NVFP4). Each provider offers different performance characteristics and pricing.
Muse Spark Open (Xhigh) is currently available through 5 API providers that we benchmark and track.
By time per task, the fastest providers for Muse Spark Open (Xhigh) are Makora (NVFP4) (3.9 min), Baseten (5.2 min), and Together AI (7.3 min). Time per task divides the model's output tokens per Intelligence Index task by each provider's end-to-end output speed.
The providers with the lowest time to first answer token for Muse Spark Open (Xhigh) are Makora (NVFP4) (7.16s), Together AI (12.02s), and Nebius (FP4) (13.81s). Lower latency means faster initial response time.
The most affordable providers for Muse Spark Open (Xhigh) by blended price are Fireworks ($0.78 per 1M tokens), Baseten ($0.78 per 1M tokens), and Nebius (FP4) ($0.78 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio.
The providers with the lowest input token pricing for Muse Spark Open (Xhigh) are Fireworks ($1.25 per 1M input tokens), Baseten ($1.25 per 1M input tokens), and Nebius (FP4) ($1.25 per 1M input tokens).
The providers with the lowest output token pricing for Muse Spark Open (Xhigh) are Fireworks ($4.25 per 1M output tokens), Baseten ($4.25 per 1M output tokens), and Nebius (FP4) ($4.25 per 1M output tokens).
Time per task for Muse Spark Open (Xhigh) varies significantly across providers. Makora (NVFP4) is the quickest at 3.9 minutes per Intelligence Index task, 5.8x quicker than Fireworks at 22.7 minutes.
All 5 providers of Muse Spark Open (Xhigh) support JSON mode for structured output.
All 5 providers of Muse Spark Open (Xhigh) support function calling (tool use).
For Muse Spark Open (Xhigh), Makora (NVFP4) offers the best performance with the lowest time per task and lowest latency. For cost optimization, Fireworks provides the most competitive pricing.
When choosing a provider for Muse Spark Open (Xhigh), consider: time per task (how quickly the provider completes an Intelligence Index task), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
For information about Muse Spark Open (Xhigh)'s intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview