Model Comparison
MiMo-V2-Pro
vs. Muse Spark
Comparing 2 AI models · 7 benchmarks · Xiaomi, Meta
Recommended Pick
Me Muse Spark 13 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
Muse Spark
$0.00/1M input price
Best Reasoning
Muse Spark
60.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Muse Spark
47.5 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Muse Spark is ∞x cheaper on input tokens than MiMo-V2-Pro.
Reasoning gap
Muse Spark leads MiMo-V2-Pro by 5.3 points on reasoning.
Coding gap
Muse Spark leads MiMo-V2-Pro by 6.1 points on coding.
Top-pick rationale
Muse Spark wins 13 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
MiMo-V2-Pro
Xiaomi
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Muse Spark
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Xi MiMo-V2-Pro | Top Pick Me Muse Spark |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.00/1M | $0.00/1M |
| Output Cost | $3.00/1M | $0.00/1M |
| Blended (3:1) | $1.50/1M | — |
| Specifications | ||
| Organization | Xiaomi | Meta |
| Release Date | Mar 18, 2026 | Apr 8, 2026 |
| Performance & Speed | ||
| Throughput | 45.7 tok/s | — |
| TTFT | 2323ms | — |
| Latency | 66280ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 54.8 | 60.2 |
| Intelligence | 49.2 | 52.2 |
| Coding | 41.4 | 47.5 |
| Standard Benchmarks | ||
| GPQA | 87.0% | 88.4% |
| HLE | 28.3% | 39.9% |
| SciCode | 42.5% | 51.5% |
| LCR | 60.7% | 69.7% |
| IFBench | 68.8% | 75.9% |
| TAU-bench v2 | 95.0% | 91.5% |
| TerminalBench Hard | 40.9% | 45.5% |
Key Takeaways
Muse Spark offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Muse Spark has the strongest reasoning profile with a 60.2 reasoning score, combining the available reasoning-heavy benchmarks.
Muse Spark reaches a 47.5 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
MiMo-V2-Pro
- General-purpose AI
- Versatile applications
Muse Spark
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
