Specifications
Context Window
—
Input Price/1M
$0.08
#247 of 806
Output Price/1M
$0.32
Parameters
—
Speed
17 tok/s
#410 of 651
Latency (TTFT)
790ms
Cost per Task
41.4
AA Score / US$ · higher = better
Benchmarks
Phi-4 Multimodal Instruct results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 13.0 | 100.0 | Artificial Analysis official API |
| SciCode | 11.0 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 49.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 69.3 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 5.8 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 48.5 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 32.0 | 100.0 | Artificial Analysis official API |
| HLE | 4.0 | 100.0 | — |
Information
- Release date
- February 26, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Phi-4 Multimodal Instruct
What is Phi-4 Multimodal Instruct?
Phi-4 Multimodal Instruct is an AI model developed by Microsoft, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Microsoft's cloud API.
Pricing & Costs in 2026
Phi-4 Multimodal Instruct is usage-based, priced at $0.08/1M input tokens and $0.32/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Phi-4 Multimodal Instruct was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Phi-4 Multimodal Instruct specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Phi-4 Multimodal Instruct competes directly with similarly capable models. Microsoft competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Phi-4 Multimodal Instruct?
Phi-4 Multimodal Instruct is an AI model developed by Microsoft. It is a text model.
How much does Phi-4 Multimodal Instruct cost?
Phi-4 Multimodal Instruct costs $0.08/1M input tokens and $0.32/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Phi-4 Multimodal Instruct compare with other models?
In available benchmarks, Phi-4 Multimodal Instruct scored: LiveCodeBench: 13/100, SciCode: 11/100, MMLU-Pro: 49/100. See the full table above for a detailed comparison.
Is Phi-4 Multimodal Instruct open source?
No, Phi-4 Multimodal Instruct is a proprietary model from Microsoft. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Phi-4 Multimodal Instruct best for?
Phi-4 Multimodal Instruct excels at general-purpose language tasks.
Last updated: October 16, 2026 • View methodology →