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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.

GPT-5 nano (high)Muse Spark 1.1 (xhigh)
8.0
Reasoning
6.0
6.0
Coding
7.0
2.0
Multimodal
4.0
2.0
Long Context
6.0
$0.138
Blended Price / 1M tokens
$2
P95 Latency
Tokens per second
166.23

Machine-readable comparison data

ModelMetricValueUnitSource / snapshot
GPT-5 nano (high)Reasoning8.0benchmark or capability scoreArtificial Analysis · current catalog
Muse Spark 1.1 (xhigh)Reasoning6.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 nano (high)Coding6.0benchmark or capability scoreArtificial Analysis · current catalog
Muse Spark 1.1 (xhigh)Coding7.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 nano (high)Multimodal2.0benchmark or capability scoreArtificial Analysis · current catalog
Muse Spark 1.1 (xhigh)Multimodal4.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 nano (high)Long Context2.0benchmark or capability scoreArtificial Analysis · current catalog
Muse Spark 1.1 (xhigh)Long Context6.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 nano (high)Blended Price / 1M tokens$0.138USD per 1M tokensArtificial Analysis · current catalog
Muse Spark 1.1 (xhigh)Blended Price / 1M tokens$2USD per 1M tokensArtificial Analysis · current catalog
GPT-5 nano (high)P95 LatencymillisecondsArtificial Analysis · current catalog
Muse Spark 1.1 (xhigh)P95 LatencymillisecondsArtificial Analysis · current catalog
GPT-5 nano (high)Tokens per secondtokens per secondArtificial Analysis · current catalog
Muse Spark 1.1 (xhigh)Tokens per second166.23tokens per secondArtificial 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)`.

IntelligenceCodingMathMultimodalLong Context
GPT-5 nano (high)Muse Spark 1.1 (xhigh)

Benchmark Breakdown

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

GPT-5 nano (high)Muse Spark 1.1 (xhigh)

Speed & Latency

Lower time to first token is better; higher tokens per second is better.

Time to First Token · GPT-5 nano (high)
Time to First Token · Muse Spark 1.1 (xhigh)
Tokens per Second · GPT-5 nano (high)
Tokens per Second · Muse Spark 1.1 (xhigh)
166.23
Head to the playground to validate these results yourself

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.

GPT-5 nano (high)Muse Spark 1.1 (xhigh)

Real-World Cost Scenario

Per run: 1M input tokens + 250k output tokens

GPT-5 nano (high)$0.15

Muse Spark 1.1 (xhigh)$2.313

GPT-5 nano (high) costs $2.163 less per run

Review the complete pricing and packaging strategy

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.