Compare/Muse Spark 1.3 (max) vs Gemini 3.5 Flash (high)

Muse Spark 1.3 (max)vsGemini 3.5 Flash (high)

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

Meta

Muse Spark 1.3 (max)

Input
Output
Speed
TTFT
Google

Gemini 3.5 Flash (high)

Input
$1.5/M
Output
$9/M
Speed
205 tok/s
TTFT
15.26s

Winner by Category

Cheaper
Gemini 3.5 Flash (high)
Faster (tok/s)
Gemini 3.5 Flash (high)
Lower Latency
Gemini 3.5 Flash (high)
Benchmarks (2-0)
Muse Spark 1.3 (max)

Pricing Comparison

MetricMuse Spark 1.3 (max)Gemini 3.5 Flash (high)
Input ($/M tokens)$1.5
Output ($/M tokens)$9
Cost for 1M input + 100K output tokens:
Gemini 3.5 Flash (high)$2.40

Speed Comparison

Output Speed (tokens/s) — higher is better
Muse Spark 1.3 (max)
Gemini 3.5 Flash (high)
205 tok/s
Time to First Token (seconds) — lower is better
Muse Spark 1.3 (max)
Gemini 3.5 Flash (high)
15.26s

Editorial Analysis

Verdict. Muse Spark 1.3 (max) wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Pricing varies significantly between these models — check the table above for the exact per-token rates. Many production workloads actually surface input-token cost (retrieval-augmented prompts, code-context windows), so factor both directions.

Strengths. Muse Spark 1.3 (max) is strongest on Coding Index (76.3), Intelligence Index (62.1). Gemini 3.5 Flash (high) leads on Coding Index (70.1), Intelligence Index (52.0).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. Meta and Google sell to overlapping but distinct developer audiences: Meta tends to ship frontier reasoning models with premium positioning, while Google often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

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

  • Aggregate benchmark score (sum across 12 categories, capped at 100): Muse Spark 1.3 (max) = 138, Gemini 3.5 Flash (high) = 122. Within 15% — effectively equivalent if both meet the threshold your product requires.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
62.152.0
Coding Index
76.370.1
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Muse Spark 1.3 (max)2 wins
0 winsGemini 3.5 Flash (high)

Frequently Asked Questions

Which is cheaper, Muse Spark 1.3 (max) or Gemini 3.5 Flash (high)?

Gemini 3.5 Flash (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $3.38/M tokens vs $—/M for Muse Spark 1.3 (max).

Which model performs better on benchmarks?

Muse Spark 1.3 (max) wins 2 out of 12 benchmarks compared to 0 for Gemini 3.5 Flash (high). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Gemini 3.5 Flash (high) generates tokens faster at 205 tok/s vs — tok/s. However, Gemini 3.5 Flash (high) has lower time-to-first-token (15.26s vs —s).

When should I use Muse Spark 1.3 (max) vs Gemini 3.5 Flash (high)?

Choose based on your priorities: Gemini 3.5 Flash (high) for lower cost, Muse Spark 1.3 (max) for stronger benchmark performance, and Gemini 3.5 Flash (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.