Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Muse Spark 1.3 (max) | Muse Spark 1.3 (xhigh) |
|---|---|---|
| Input ($/M tokens) | $1.25 | $1.25 |
| Output ($/M tokens) | $4.25 | $4.25 |
Verdict. Muse Spark 1.3 (max) and Muse Spark 1.3 (xhigh) split the benchmark comparison evenly at 1–1. The tiebreaker here is price, speed, and what you actually run them on.
Pricing. Both models sit in the mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Muse Spark 1.3 (xhigh) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Muse Spark 1.3 (xhigh) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Muse Spark 1.3 (max) is strongest on Coding Index (75.8), Intelligence Index (48.2). Muse Spark 1.3 (xhigh) leads on Coding Index (76.5), Intelligence Index (45.2).
Speed. Throughput is comparable — 233 tok/s vs 217 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.
Provider. Both models come from the same vendor, so the choice comes down to which tier or generation fits your workload — not vendor lock-in.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Muse Spark 1.3 (max) costs $101.25 ($1215/year); Muse Spark 1.3 (xhigh) costs $101.25 ($1215/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Muse Spark 1.3 (max) ≈ $14.75/run, Muse Spark 1.3 (xhigh) ≈ $14.75/run. At agent/realtime scale (200M input / 100M output per million requests): Muse Spark 1.3 (max) ≈ $675/run, Muse Spark 1.3 (xhigh) ≈ $675/run.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.
It's a tie — both models win 1 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.
Muse Spark 1.3 (max) generates tokens faster at 233 tok/s vs 217 tok/s. However, Muse Spark 1.3 (xhigh) has lower time-to-first-token (22.70s vs 23.48s).
Choose based on your priorities: both are similarly priced, both perform similarly on benchmarks, and Muse Spark 1.3 (max) for faster generation. For latency-sensitive apps, check the TTFT comparison above.