Compare/Muse Spark vs GPT-5.4 mini (Non-Reasoning)

Muse SparkvsGPT-5.4 mini (Non-Reasoning)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Meta

Muse Spark

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

GPT-5.4 mini (Non-Reasoning)

Input
$0.75/M
Output
$4.5/M
Speed
164 tok/s
TTFT
0.56s

Winner by Category

Cheaper
Muse Spark
Faster (tok/s)
GPT-5.4 mini (Non-Reasoning)
Lower Latency
Muse Spark
Benchmarks (7-0)
Muse Spark

Pricing Comparison

MetricMuse SparkGPT-5.4 mini (Non-Reasoning)
Input ($/M tokens)$0$0.75
Output ($/M tokens)$0$4.5
Cost for 1M input + 100K output tokens:
Muse Spark$0.00
GPT-5.4 mini (Non-Reasoning)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
Muse Spark
GPT-5.4 mini (Non-Reasoning)
164 tok/s
Time to First Token (seconds) — lower is better
Muse Spark
GPT-5.4 mini (Non-Reasoning)
0.56s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
52.223.3
Coding Index
47.525.3
Math Index
GPQA Diamond
88.4%60.6%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
39.9%5.7%
SciCode
51.5%39.6%
IFBench
75.9%38.8%
TerminalBench
45.5%18.2%
Muse Spark7 wins
0 winsGPT-5.4 mini (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, Muse Spark or GPT-5.4 mini (Non-Reasoning)?

Muse Spark is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $1.69/M for GPT-5.4 mini (Non-Reasoning).

Which model performs better on benchmarks?

Muse Spark wins 7 out of 12 benchmarks compared to 0 for GPT-5.4 mini (Non-Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 mini (Non-Reasoning) generates tokens faster at 164 tok/s vs 0 tok/s. Muse Spark also has lower time-to-first-token (0.00s vs 0.56s).

When should I use Muse Spark vs GPT-5.4 mini (Non-Reasoning)?

Choose based on your priorities: Muse Spark for lower cost, Muse Spark for stronger benchmark performance, and GPT-5.4 mini (Non-Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.