Model Comparison
Gemini 1.0 Ultra
vs. Phi-4 Multimodal Instruct
Comparing 2 AI models · 7 benchmarks · Google, Microsoft
Recommended Pick
Go Gemini 1.0 Ultra 3 metric wins Strongest on: TTFT, Latency, Intelligence
Lowest Price
Gemini 1.0 Ultra
$0.00/1M input price
Best Reasoning
Phi-4 Multimodal Instruct
23.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 1.0 Ultra
17.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Phi-4 Multimodal Instruct leads Gemini 1.0 Ultra by 19.2 points on reasoning.
Top-pick rationale
Gemini 1.0 Ultra wins 3 measurable categories, including TTFT, Latency, Intelligence.
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
—
Phi-4 Multimodal Instruct
Microsoft
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Go Gemini 1.0 Ultra | Mi Phi-4 Multimodal Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Microsoft | |
| Release Date | Dec 6, 2023 | Feb 26, 2025 |
| Performance & Speed | ||
| Throughput | — | 12.3 tok/s |
| TTFT | — | 391ms |
| Latency | — | 391ms |
| Composite Indices | ||
| Reasoning Score | 4.6 | 23.8 |
| Intelligence | 4.6 | 4.5 |
| Coding | 17.6 | — |
| Standard Benchmarks | ||
| GPQA | — | 31.5% |
| MMLU Pro | — | 48.5% |
| HLE | — | 4.4% |
| LiveCodeBench | — | 13.1% |
| MATH 500 | — | 69.3% |
| AIME (Original) | — | 9.3% |
| SciCode | — | 11.0% |
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.
Phi-4 Multimodal Instruct has the strongest reasoning profile with a 23.8 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 1.0 Ultra reaches a 17.6 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
- Code generation
- Software development
Phi-4 Multimodal Instruct
- Complex reasoning tasks
- Research & analysis
