Model Comparison
Muse Spark 1.2 (xhigh)
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 4 benchmarks · Meta, Google
Recommended Pick
GoGemini 3.7 Flash (high)10 metric winsStrongest on: Value, Input price, Output price
Best Value
Gemini 3.7 Flash (high)
100.0 value score
66.1 reasoning / $1.50/1M
Lowest Price
Gemini 3.7 Flash (high)
$0.75/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Gemini 3.7 Flash (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemini 3.7 Flash (high) is 1.7x cheaper on input tokens than Muse Spark 1.2 (xhigh).
Reasoning gap
Gemini 3.7 Flash (high) leads Muse Spark 1.2 (xhigh) by 1.9 points on reasoning.
Coding gap
Gemini 3.7 Flash (high) leads Muse Spark 1.2 (xhigh) by 3.9 points on coding.
Top-pick rationale
Gemini 3.7 Flash (high) wins 10 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Muse Spark 1.2 (xhigh)
Meta
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Gemini 3.7 Flash (high)
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Me Muse Spark 1.2 (xhigh) | Top Pick Go Gemini 3.7 Flash (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.75/1M |
| Output Cost | $4.25/1M | $3.75/1M |
| Blended (3:1) | $2.00/1M | $1.50/1M |
| Specifications | ||
| Organization | Meta | |
| Release Date | Aug 5, 2026 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | — | 515.0 tok/s |
| TTFT | — | 6354ms |
| Latency | — | 6354ms |
| Composite Indices | ||
| Value Score | 72.8 | 100.0 |
| Reasoning Score | 64.2 | 66.1 |
| Intelligence | 56.8 | 56.0 |
| Coding | 72.2 | 76.1 |
| Standard Benchmarks | ||
| GPQA | 90.4% | 94.5% |
| HLE | 45.5% | 47.9% |
| SciCode | 56.4% | 56.8% |
| LCR | 83.3% | 80.0% |
Key Takeaways
Gemini 3.7 Flash (high) offers the best value at $0.75/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 66.1 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.7 Flash (high) reaches a 76.1 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Muse Spark 1.2 (xhigh)
- General-purpose AI
- Versatile applications
Gemini 3.7 Flash (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
