Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemini 3.8 Flash (high) | Muse Spark 1.3 (max) |
|---|---|---|
| Input ($/M tokens) | $0.75 | $1.25 |
| Output ($/M tokens) | $3.75 | $4.25 |
Verdict. Gemini 3.8 Flash (high) and Muse Spark 1.3 (max) 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 budget / mid-tier bracket for output-token pricing. At 0.9× the per-million-token cost, Gemini 3.8 Flash (high) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemini 3.8 Flash (high) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Gemini 3.8 Flash (high) is strongest on Coding Index (76.3), Intelligence Index (41.2). Muse Spark 1.3 (max) leads on Coding Index (75.8), Intelligence Index (48.2).
Speed. On throughput, Gemini 3.8 Flash (high) generates tokens at 303 tok/s versus 233 tok/s — about 23% faster. On time-to-first-token, Gemini 3.8 Flash (high) responds in 16280ms vs 23480ms, which matters most for chat-style UIs.
Provider. Google and Meta sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while Meta often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Gemini 3.8 Flash (high) costs $78.75 ($945/year); Muse Spark 1.3 (max) costs $101.25 ($1215/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemini 3.8 Flash (high) ≈ $11.25/run, Muse Spark 1.3 (max) ≈ $14.75/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 3.8 Flash (high) ≈ $525/run, Muse Spark 1.3 (max) ≈ $675/run. Gemini 3.8 Flash (high) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
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
Gemini 3.8 Flash (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.50/M tokens vs $2.00/M for Muse Spark 1.3 (max).
It's a tie — both models win 1 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.
Gemini 3.8 Flash (high) generates tokens faster at 303 tok/s vs 233 tok/s. Gemini 3.8 Flash (high) also has lower time-to-first-token (16.28s vs 23.48s).
Choose based on your priorities: Gemini 3.8 Flash (high) for lower cost, both perform similarly on benchmarks, and Gemini 3.8 Flash (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.