Model Comparison
Muse Spark
vs. MiMo-V2-Pro
Comparing 2 AI models · 7 benchmarks · Meta, Xiaomi
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
57.1 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.
Muse Spark
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
MiMo-V2-Pro
Xiaomi
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Me Muse Spark | Xi MiMo-V2-Pro |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $1.00/1M |
| Output Cost | $0.00/1M | $3.00/1M |
| Blended (3:1) | — | $1.50/1M |
| Specifications | ||
| Organization | Meta | Xiaomi |
| Release Date | Apr 8, 2026 | Mar 18, 2026 |
| Performance & Speed | ||
| Throughput | — | 39.4 tok/s |
| TTFT | — | 2165ms |
| Latency | — | 76461ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 57.1 | 51.9 |
| Intelligence | 43.1 | 40.3 |
| Coding | 47.5 | 41.4 |
| Standard Benchmarks | ||
| GPQA | 88.4% | 87.0% |
| HLE | 39.9% | 28.3% |
| SciCode | 51.5% | 42.5% |
| LCR | 69.7% | 60.7% |
| IFBench | 75.9% | 68.8% |
| TAU-bench v2 | 91.5% | 95.0% |
| TerminalBench Hard | 45.5% | 40.9% |
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 57.1 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
Muse Spark
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
MiMo-V2-Pro
- General-purpose AI
- Versatile applications
