Phi-3 Mini Instruct 3.8B

Phi-3 Mini Instruct 3.8B

Microsofttext

API Available

Specifications

Context Window

Input Price/1M

Output Price/1M

Parameters

00

Benchmarks

Phi-3 Mini Instruct 3.8B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard0.0100.0

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench12.0100.0Artificial Analysis official API
SciCode9.0100.0
AA Coding Index3.0100.0Artificial Analysis official API

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro44.0100.0

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR2.0100.0

Math

BenchmarkScoreMaximumMethodology
MATH-50045.7100.0Artificial Analysis official API
AA Math Index0.3100.0Artificial Analysis official API
AIME 20250.0100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index10.1100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro43.5100.0Artificial Analysis official API
GPQA Diamond32.0100.0Artificial Analysis official API
IFBench24.0100.0
HLE4.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench0.0100.0

Information

Release date
April 23, 2024
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Phi-3 Mini Instruct 3.8B

What is Phi-3 Mini Instruct 3.8B?

Phi-3 Mini Instruct 3.8B 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-3 Mini Instruct 3.8B does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Microsoft's official website for up-to-date availability and pricing.

Benchmarks & Performance

Phi-3 Mini Instruct 3.8B was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. 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-3 Mini Instruct 3.8B specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Phi-3 Mini Instruct 3.8B 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-3 Mini Instruct 3.8B?

Phi-3 Mini Instruct 3.8B is an AI model developed by Microsoft. It is a text model.

How much does Phi-3 Mini Instruct 3.8B cost?

Phi-3 Mini Instruct 3.8B does not have public per-token pricing available at this time. Check Microsoft's official website for up-to-date information.

How does Phi-3 Mini Instruct 3.8B compare with other models?

In available benchmarks, Phi-3 Mini Instruct 3.8B scored: Terminal-Bench Hard: 0/100, LiveCodeBench: 12/100, SciCode: 9/100. See the full table above for a detailed comparison.

Is Phi-3 Mini Instruct 3.8B open source?

No, Phi-3 Mini Instruct 3.8B 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-3 Mini Instruct 3.8B best for?

Phi-3 Mini Instruct 3.8B excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →