Model Comparison
Gemini 1.0 Ultra
vs. MiMo-V2.5
Comparing 2 AI models · 7 benchmarks · Google, Xiaomi
Recommended Pick
Xi MiMo-V2.5 4 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemini 1.0 Ultra
$0.00/1M input price
Best Reasoning
MiMo-V2.5
53.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
MiMo-V2.5
42.1 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
Gemini 1.0 Ultra is ∞x cheaper on input tokens than MiMo-V2.5.
Reasoning gap
MiMo-V2.5 leads Gemini 1.0 Ultra by 42.9 points on reasoning.
Coding gap
MiMo-V2.5 leads Gemini 1.0 Ultra by 24.5 points on coding.
Top-pick rationale
MiMo-V2.5 wins 4 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 1.0 Ultra
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
MiMo-V2.5
Xiaomi
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Go Gemini 1.0 Ultra | Top Pick Xi MiMo-V2.5 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.14/1M |
| Output Cost | $0.00/1M | $0.28/1M |
| Blended (3:1) | — | $0.18/1M |
| Specifications | ||
| Organization | Xiaomi | |
| Release Date | Dec 6, 2023 | Apr 22, 2026 |
| Performance & Speed | ||
| Throughput | — | 74.9 tok/s |
| TTFT | — | 2173ms |
| Latency | — | 28891ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 10.1 | 53.0 |
| Intelligence | 10.1 | 49.0 |
| Coding | 17.6 | 42.1 |
| Standard Benchmarks | ||
| GPQA | — | 84.9% |
| HLE | — | 25.2% |
| SciCode | — | 43.1% |
| LCR | — | 62.7% |
| IFBench | — | 67.1% |
| TAU-bench v2 | — | 90.6% |
| TerminalBench Hard | — | 41.7% |
Key Takeaways
Gemini 1.0 Ultra offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
MiMo-V2.5 has the strongest reasoning profile with a 53.0 reasoning score, combining the available reasoning-heavy benchmarks.
MiMo-V2.5 reaches a 42.1 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
Gemini 1.0 Ultra
- Cost-sensitive applications
- High-volume processing
MiMo-V2.5
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
