GPT-5 nano (high) vs Muse Spark 1.1 (xhigh): The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the GPT-5 nano (high) vs Muse Spark 1.1 (xhigh) Showdown
The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.
Model Snapshot
Key decision metrics at a glance.
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| GPT-5 nano (high) | Reasoning | 8.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Muse Spark 1.1 (xhigh) | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Coding | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Muse Spark 1.1 (xhigh) | Coding | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Multimodal | 2.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Muse Spark 1.1 (xhigh) | Multimodal | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Long Context | 2.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Muse Spark 1.1 (xhigh) | Long Context | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Blended Price / 1M tokens | $0.138 | USD per 1M tokens | Artificial Analysis · current catalog |
| Muse Spark 1.1 (xhigh) | Blended Price / 1M tokens | $2 | USD per 1M tokens | Artificial Analysis · current catalog |
| GPT-5 nano (high) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| Muse Spark 1.1 (xhigh) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Tokens per second | — | tokens per second | Artificial Analysis · current catalog |
| Muse Spark 1.1 (xhigh) | Tokens per second | 166.23 | tokens per second | Artificial Analysis · current catalog |
Data provided by Artificial Analysis; live values use the current catalog.
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-5 nano (high)` vs `Muse Spark 1.1 (xhigh)`.
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
The Economics of GPT-5 nano (high) vs Muse Spark 1.1 (xhigh)
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensGPT-5 nano (high)$0.15
Muse Spark 1.1 (xhigh)$2.313
GPT-5 nano (high) costs $2.163 less per run
Your Questions about the GPT-5 nano (high) vs Muse Spark 1.1 (xhigh) Comparison
Is `GPT-5 nano (high)` a direct replacement for `Muse Spark 1.1 (xhigh)`?
The current GPT-5 nano (high) vs Muse Spark 1.1 (xhigh) data does not establish a universal replacement. Compare the available metrics, then validate quality, latency, reliability, and cost on your own workload.
For coding, which is better in the `GPT-5 nano (high) vs Muse Spark 1.1 (xhigh)` debate?
The current catalog does not contain comparable coding benchmark values for both models, so this page does not declare a coding winner.
How was this `GPT-5 nano (high) vs Muse Spark 1.1 (xhigh)` comparison conducted?
Our GPT-5 nano (high) vs Muse Spark 1.1 (xhigh) comparison uses published benchmark, pricing, speed, and latency fields provided by Artificial Analysis. Missing values remain unavailable, and the result should be checked against your workload.