Model Comparison
Phi-4 Multimodal Instruct
vs. Gemini 3.1 Pro Preview
Comparing 2 AI models · 11 benchmarks · Microsoft, Google
Recommended Pick
Go Gemini 3.1 Pro Preview 6 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Phi-4 Multimodal Instruct
$0.00/1M input price
Best Reasoning
Gemini 3.1 Pro Preview
65.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Pro Preview
55.5 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
Phi-4 Multimodal Instruct is ∞x cheaper on input tokens than Gemini 3.1 Pro Preview.
Speed gap
Gemini 3.1 Pro Preview generates about 7.3x as many tokens per second as Phi-4 Multimodal Instruct.
Reasoning gap
Gemini 3.1 Pro Preview leads Phi-4 Multimodal Instruct by 40.4 points on reasoning.
Top-pick rationale
Gemini 3.1 Pro Preview wins 6 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Phi-4 Multimodal Instruct
Microsoft
TTFT
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Time
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tok/s
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Tokens
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Cost
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Gemini 3.1 Pro Preview
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Mi Phi-4 Multimodal Instruct | Top Pick Go Gemini 3.1 Pro Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $2.00/1M |
| Output Cost | $0.00/1M | $12.00/1M |
| Blended (3:1) | — | $4.50/1M |
| Specifications | ||
| Organization | Microsoft | |
| Release Date | Feb 26, 2025 | Feb 19, 2026 |
| Performance & Speed | ||
| Throughput | 16.5 tok/s | 120.2 tok/s |
| TTFT | 468ms | 23928ms |
| Latency | 468ms | 23928ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 24.9 | 65.3 |
| Intelligence | 10.0 | 57.2 |
| Coding | — | 55.5 |
| Standard Benchmarks | ||
| GPQA | 31.5% | 94.1% |
| MMLU Pro | 48.5% | — |
| HLE | 4.4% | 44.7% |
| LiveCodeBench | 13.1% | — |
| MATH 500 | 69.3% | — |
| AIME (Original) | 9.3% | — |
| SciCode | 11.0% | 58.9% |
| LCR | — | 72.7% |
| IFBench | — | 77.1% |
| TAU-bench v2 | — | 95.6% |
| TerminalBench Hard | — | 53.8% |
Key Takeaways
Phi-4 Multimodal Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.1 Pro Preview has the strongest reasoning profile with a 65.3 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 3.1 Pro Preview reaches a 55.5 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
Phi-4 Multimodal Instruct
- Cost-sensitive applications
- High-volume processing
Gemini 3.1 Pro Preview
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
